Advances in Environmental Biology

Size: px
Start display at page:

Download "Advances in Environmental Biology"

Transcription

1 AENSI Journls Advnces n Envronmentl Bology ISSN EISSN Journl home pge: Approxmton of Monthly Evpotrnsprton Bsed on Rnfll nd Geogrphcl nformton n Frs Provnce Locted n South of Irn Mehrdd Emd, Hmd Rez Fooldmnd, 3 Ebrhm Aftdoust, 4 Amrpouy Srrf Deprtment of Wter Engneerng, Mrvdsht Brnch, Islmc Azd Unversty, Mrvdsht, Irn Deprtment of Wter Engneerng, Mrvdsht Brnch, Islmc Azd Unversty, Mrvdsht, Irn 3 Deprtment of Wter Engneerng, Mrvdsht Brnch, Islmc Azd Unversty, Mrvdsht, Irn 4 Deprtment of Sol Scences, Roudehen Brnch, Islmc Azd Unversty, Roudehen, Irn A R T I C L E I N F O Artcle hstory: Receved 5 June 04 Receved n revsed form 8 July 04 Accepted 4 September 04 Avlble onlne 0 October 04 Keywords: Evpotrnsprton, Geogrphcl Dt, Thornthwte, Penmn- Monteth, Blney-Crddle, Rnfll, Frs Provnce A B S T R A C T Evporton s ccounted s n mportnt regonl phenomenon, especlly n dry nd semrd res. The estmton of evporton mesure s very mportnt from wter sources mngement vew for ts effects on res wter blnce, rdty nd humdty of wether, drought nd even for regon chnge. The purpose of ths study s nvestgtng the role of rnfll fctors nd geogrphcl nformton on temperture s most mportnt fctors on evporton. Frst by nlyzng dt wth multple regresson, the relton between therml prmeters to rnfll, heght from se level nd lttude determned nd resulted mxmum nd mnmum temperture equtons for months of yer, there for Hrgreves modfed equton of study, the new form of Hrgreves for south of Irn, Thornthwte, Blney - Crddle ccordng to Penmn - Monteth equton clbrted for every month of usng wether dt of three synoptc stton n Frs provnce. Obtned dt from ths study shows rnfll nd geogrphcl governed on concerned re, hve effectve role on evporton. 04 AENSI Publsher All rghts reserved. To Cte Ths Artcle: Mehrdd Emd, Hmd Rez Fooldmnd, Ebrhm Aftdoust, Srrf., Approxmton of Monthly Evpotrnsprton Bsed on Rnfll nd Geogrphcl nformton n Frs Provnce Locted n South of Irn. Adv. Envron. Bol., 8(3), , 04 INTRODUCTION Evporton s one of the mn components of hydrology cycle nd ts correct determnton s very mportnt for mny studes such s hydrologcl blnce of wter, wter desgn nd mngement, smultng grculture crops, nd product ssessng for jungle nd pstures ecosystems, [, ]. [], There s complcted relton between regonl phenomenon. One of the most mportnt reltons s relton between evporton to numerous regonl prmeters. For wter evporton, should be exst level s n evporton level more over enough energy. To contnue evporton process should be exsted trnsfer mechnsm, to trnsfer vlble humdty n nerby tmosphere n evportng level to nother pont untl t ext from sturton condton nd evporton s not stopped more over, regonl prmeters mentoned, other fctors re effectve on evporton such s heght nd lttude. About relton between evporton to lttude nd heght s not presented defnte relton, nd mybe t s becuse of complcted relton between them []. A study whch s done n Znjn re, provde reference evporton usng geogrphcl nformton system, numerl model mps of heght nd obtned reference evporton usng ts relton wth heght nd slope of re, [3]. [5] In study usng wether dt relted to seven synoptc sttons n nsde nd seven synoptc stton n outsde of Frs provnce, clbrted Hrgreves equton ccordng to Penmn- Monteth method for every month of yer nd nnully steps n Irn. Results show tht for every month of yer nd nnully step s used dfferent coeffcent nsted of mn coeffcent n Hrgreves equton, so there s possble for estmte monthly ET o usng clbrton coeffcent of Hrgreves equton for dfferent re of Frs provnce for every month of yer. [3] Consderng to effcent temperture degree nsted of verge temperture degree n ths study obtned new method by clbrted Thornthwte equton ccordng to Penmn- Monteth method s stndrd Correspondng Author: Amrpouy Srrf, Deprtment of Sol Scences, Roudehen Brnch, Islmc Azd Unversty, Roudehen, Irn E-ml: mrpooy.srrf@gml.com

2 847 Mehrdd Emd et l, 04 method for estmtng ET o by determnng K coeffcent for every month of yer for seven erology stton n nsde of studed re. Results show n studed re K coeffcent hs mxmum nd mnmum mount n utumn nd wnter. [6], n study by usng clmte dt of fourteen stton n south of Irn compred dfferent knds of Hrgreves equton to estmte monthly ET o by Penmn- Monteth method. Results show mn knd of Hrgreves equton s better thn others n three sttons wth humd clmte nd slow wnd durng the yer. How ever, n seven sttons wth dry nd semrd clmte s new knd of Hrgreves equtons whch s nclude monthly rnfll dt, t hs best condton to estmte ET o whch s mtched wth prevous results, ths equton cn use mnmum nd mxmum mount of wether temperture nd monthly rnfll to estmte monthly ET o usng verge. Purpose : Severl methods hve been presented for estmtng potentl evporton of reference plnt. Mny of these methods need numerous dt of erology but some of these dt re not vlble nd f we suppose they re vlble they hve not dequte precson. Wth consder to ths problem tht Frs provnce fced wth dehydrton problem now. There for dequte plnnng s essentl for rrgton n ths provnce. In numerous studes n Frs provnce evporton estmton s done by temperture dt, but t s provde wth step to forwrd to estmte evporton wthout usng temperture dt n Frs provnce. The mn purpose of ths study s estmtng evporton usng monthly rn full dt nd geogrphcl nformton n Frs provnce. MATERIAL AND METHODS Frs provnce locted n south of Irn nerly. Ths provnce constrned from north to Isfhn from est to Yzd nd Kermn from south to Hormozgn from west to Boushehr nd from west north to Kohkloyeh nd Bouyerhmd provnce. Totl spce of Frs provnce s bout 607 KM/M nd 7.5 percent of totl spce of country. The estmton of populton n provnce ws equl to ccordng to nformton of Irn sttstc center n 009. Ths study s done n Frs provnce boundres, whch nclude 3 synoptc sttons n Abdeh, Lr ctes nd Doroudzn Dm. In tble () presented plce specfctons sttstcl durng the perod n the studed sttons. In fgure (), locton of Frs provnce nd the studed sttons n Irn country s mp s shown. Abdeh stton wth 030 meter heght from se level s hghest nd Lr stton wth 79 heghts from se level s lowest n studed sttons. Fg. : Locton of Frs provnce nd the studed sttons n Irn Country s mp. Tble : The specfctons of the meteorologcl used n the studed regon. Tme perod used Heght from se level Lttude º,' º,' º,4' Longtude 5º,04' 5º,7' 54º,7' Stton nme Abdeh Doroudzn Dm Lr For dong ths study s used mesured dt nd regonl nformton from synoptc sttons of Frs provnce nclude monthly long- term sttstc, mxmum nd mnmum of temperture s n effectve fctor on reference evporton. The reson of usng these prmeters relted to the method of estmtng evporton whch referred to them n followng. Moreover rnfll nd geogrphcl poston of every studed stton nclude lttude nd heght from se level s used for every pont. Then by help of sttstcl nlyss of multple regressons nvestgted correlton of every mentoned temperture prmeters s functon of lttude, heght from se level, whch defned s follow: b H b G b P () Y 3

3 848 Mehrdd Emd et l, 04 Where n ths equton: H: Heght from se level, G: Lttude (degree), P: Rnfll (mm), Y: Every explned regonl prmeters whch nvestgted monthly perods nd seprtely. Regresson coeffcents b, b, b 3 lso determne weght of ndependent vrbles whch llocted to them. Therefore obtned regresson relton for every months of yer tht relted to effectve temperture prmeters (Mx nd Mn Temperture) on evporton to heght of se level, lttude nd stton rnflls nd determned ther precson. By specfyng the sgnfcnt relton between temperture prmeters nd heght of se level, lttude, rnfll n studed stton n Frs provnce provde needed nformton for estmtng reference evporton. Frs usng synoptc erology sttons n Frs provnce provded needed nformton nclude rnfll, lttude nd heght of se level. Then by help of obtned regresson reltons, mesured mxmum nd mnmum of temperture tht wth consder to nformton of every stton nd needed prmeters for estmtng evporton by modfed methods of Hrgreves, the new form of Hrgreves for south of Irn, provded Thornthwte nd Blney - Crddle for every month. The reson for choosng these methods hd been needed to mnmum regonl dt, smplcty nd conformty wth Irn regon. Other ppled equtons llustrted n ths reserch. A: Hrgreves modfed model [0] 0.5 ET ChT m 7.8 Tmx Tmn R () Where ET o s evporton terms ml/m n month (Concerned tme perod) Tm: verge of monthly temperture terns centgrde or estmted by tkng verge from mxmum nd mnmum temperture. T mx : Mxmum temperture terms centgrde, whch s used n ths feld from obtned equtons; T mn : Mnmum temperture terms centgrde whch s used n ths feld from obtned equtons; R: Rdton from outsde of erth terms wter mllmeters whch s extrcted from vlble tbles n ths feld wth consder to lttude of stton nd chnged for every month of yer [, 4]; Ch: Clbrton coeffcent for Abdeh, Doroudzn dm nd Lr sttons whch s obtned n dfferent months by fooldmnd nd hghght (007) [5]. B: New form of Hrgreves modfed model for south of Irn 0. ET Tm 46. Tmx Tmn 0.056P R (3) Whch P s totl monthly rnfll terms mllmeter. C: Thornthwte modfed equton (4) 0Teff ET0 6 I T eff 0.5K3T mx T mn (5). (6) 54 I 0.T m n I 7.70 I.790 I (7) Where T eff s monthly effectve temperture terms centgrde, I : Yerly therml ndctor, T m : Dly verge of r temperture terms centgrde degree, : equton coeffcent, K: equton coeffcent. D: Modfed equton of Blney- Crddle ET 0 8.3b m 0.46b mt eff (8) Whch m s relted coeffcent to dy or nnully percentge of sun rdton n month whch s descrbed n dly form (mens the verge of dy hours n concerned month dvde on totl hours of dy multply on 00 number), [7, 8]. And b re clbrton coeffcents whch re obtned from Abdeh, Doroudzn dm, Lr sttons n dfferent months by Fooldmnd (0) [9]. For nvestgtng the estmton precson of equton result s used verge squre root of totl squre errors (RMSE) s followng fgure. RMSE n X Y m Where X : mesured mounts, Y : estmted mounts nd m: equls to number dt mnmum mount of RMSE s equl to zero nd whtever RMSE mount be lower, concerned equton hs better estmton s result s more dequte. Also to determne whch concerned equton estmte more or less thn mesured mounts, t s used from totl remns coeffcent (CRM) s followng fgure. (9)

4 849 Mehrdd Emd et l, 04 CRM n n X X Y CRM mount equls to one t most, f CRM be postve t mens mesured mount s more thn estmted ones, so model estmted low, nd vce vers f CRM be negtve t mens mesured mount s less thn estmted ones, so t s clled model estmted more. Therefore estmted evporton whch s obtned from Hrgreves modfed methods, new form of Hrgreves for south of Irn, Thornthwte nd Blney - Crddle obtned wth evporton nd rel nformton compred wth two comprng method, CRM, RMSE by penmn- method. In every seson of yer one of the months tht hs bgger correlton coeffcent between others choosed becuse of more effectve summrzton nd utlzton. RESULT AND DISCUTION Tble () shows obtned regresson equtons for estmtng regonl prmeters (mxmum nd mnmum monthly temperture) whch s effectve on evporton n dfferent sesons of yer. These prmeters nclude mnmum nd mxmum of temperture whch s selected for four month of yer (for every seson one month) nd s done relted clcultons. R ndcte strong relton between mxmum nd mnmum prmeters of temperture wth lttude, heght from se level nd rnfll one of the other effectve fctors on evporton n Hrgreves modfed methods, new form of Hrgreves for south of Irn, Thornthwte nd Blney - Crddle s temperture whch s used both n verge nd n mnmum nd mxmum temperture dfference n then. In tbles 3 to 5 presented verge squre root mounts nd (RMSE) totl remns coeffcent (CRM) for Hrgreves modfed equtons, new form of Hrgreves equton for south of Irn, Thornthwte nd Blney - Crddle n ll month of yer for ll sttons. Tble : Obtned regresson equtons for estmtng effectve therml prmeters on evporton n dfferent sesons of yer. R Regresson equtons Temperture Seson T mx = (-0.09 H) + ( G) (0.80 P) Mxmum Sprng 0.98 T mn = ( H) + (49.83 G) (0.64 P) Mnmum T mx = ( H) + ( G) (0.94 P) Mxmum Summer T mn = ( H) + (65.7 G) (0.36 P) Mnmum T mx = (-0.00 H) + (78.7 G) (0.05 P) Mxmum Autumn 0.94 T mn= ( H) + (3.379 G) ( P) Mnmum T mx = ( H) + ( G) (0.096 P) Mxmum Wnter 0.79 T mn = ( H) + (.403 G) ( P) Mnmum *G, H, P Respectvely ndctes heght from se level (Meter) lttude (Degree) rnfll (Mllmeter) In order locton comprson nd justfy obtned results ndfferent plce of Frs provnce, consderng to envronmentl condton nd physogrphy whch s governed on provnce s necessry. Wth these nterprettons cn found t tht equton consstency of evporton n dfferent sesons of yer nd objectve evdence ndcte rel evporton n dfferent plce of Frs provnce. One of ts resons cn be relted to consder physogrphcl fctor such s rnfll, lttude nd heght of se level n ET o estmton. Ths fctor re effectve controllng on evporton n ny plce whch s used drectly or ndrectly s well n Hrgreves modfed methods, new form of Hrgreves for south of Irn, Thornthwte nd Blney - Crddle. Tble 3: Averge squre root mounts (RMSE) nd totl remns coeffcent (CRM) estmted n Abdeh stton. Blney - Crddle Thornthwte Hrgreves for south of Irn Hrgreves CRM RMSE CRM RMSE CRM RMSE CRM RMSE Tble 4: Averge squre root mounts (RMSE) nd totl remns coeffcent (CRM) estmted n Doroudzn Dm stton. Blney - Crddle Thornthwte Hrgreves for south of Irn Hrgreves CRM RMSE CRM RMSE CRM RMSE CRM RMSE (0) Tble 5: Averge squre root mounts (RMSE) nd totl remns coeffcent (CRM) estmted n Lr stton. Blney - Crddle Thornthwte Hrgreves for south of Irn CRM RMSE CRM RMSE CRM RMSE Hrgreves CRM RMSE Abdeh stton: Mnmum verge mount (RMSE) of ll month of yer relted to modfed equton of Blney - Crddle s 0.4 nd CRM mount s negtve modfed Hrgreves equton n four month (33 percent of yer) hs mnmum mount of RMSE n monthly scle nd new form of modfed Hrgreves equton for south of Irn n four month (33 percent of yer) hs mnmum mount of RMSE, modfed

5 850 Mehrdd Emd et l, 04 Thornthwte equton n two month (7 percent of yer) hs mnmum mount of RMSE nd modfed Blney - Crddle equton n two month (7 percent of yer) hs mnmum mount of RMSE lso modfed Hrgreves equtons, modfed Thornthwte nd modfed Blney - Crddle n four month hve postve CRM nd n eght month hve negtve CRM, so these equton n totl mount of evporton estmted more thn Penmn - Monteth equton. New form of modfed Hrgreves equton for south of Irn n two month hs postve CRM nd n ten month hs negtve CRM, so these equtons n totl mount of evporton estmted more thn Penmn - Monteth equton. Doroudzn Dm stton: mnmum verge mount of yer (RMSE) relted to modfed Hrgreves equton s 0.47 mounts nd negtve CRM, whch nnully rnge of percentge of mnmum mount RMSE of every month for every equton nd postve mount of CRM of every equton n every month s s follow: In monthly scle, modfed Hrgreves equton n three month (5 percent of yer) hs mnmum mount of RMSE, new form of modfed Hrgreves equton for south of Irn n fve month (4 percent of yer) hs mnmum mount of RMSE, modfed Thornthwte equton n one month (8 percent of yer) hs mnmum mount of RMSE nd Blney - Crddle equton n three month (5percent of yer) hs mnmum mount of RMSE. Also modfed Hrgreves equton nd modfed Blney - Crddle n four month hs postve CRM nd n eght month hs negtve CRM. So these equtons n totl mount of evporton estmted more thn Penmn - Monteth equton. New form of modfed Hrgreves equton for south of Irn n two month hs postve CRM nd n ten month hs negtve CRM. So these equtons n totl mount of evporton estmted more thn Penmn - Monteth equton. Lr stton: Mnmum verge mount of yer (RMSE) relted to new form of modfed Hrgreves equton for south of Irn s 0.6 mount nd negtve CRM, tht nnully rnge of percentge of mnmum mount RNSE of every month for every equton nd postve mount of CRM of every equton nd n every month s s follow. In monthly scles modfed Hrgreves equton n no month (zero percent of yer mnmum mount of RMSE, new form of modfed Hrgreves equton for south of Irn n eght month (67 percent of yer) hs mnmum mount of RMSE, modfed Thornthwte equton n one month (8 percent of yer) hs mnmum mount of RMSE nd Blney - Crddle equton n three month (5 percent of yer) hs mnmum mount of RMSE. Also modfed Hrgreves equton nd new form of modfed Hrgreves equton for south of Irn nd modfed Blney - Crddle n sx month hs postve CRM nd n other sx month hs negtve CRM. So ths equton n totl mount of evporton estmted less thn Penmn - Monteth equton. Concluson: Generl concluson of ths study shows tht the results of ths study refer to consstency of controllng regonl fctors for evporton nd physogrphcl fctors. Wth consder to ths problem tht modfed Hrgreves methods for south of Irn, Thornthwte nd Blney - Crddle nclude combnton of regonl fctors (Mnmum nd mxmum of envronment temperture) physogrphcl fctors (heght from se level, Lttude, rnfll) n estmtng evporton, therefore t s very useful n estmtng ET o. Consderng to hgh correlton between temperture (mnmum nd mxmum) wth heght from se level, lttude nd rnfll fctors (In dfferent month of yer R n tolerted between 0.79 to ) suggested tht usng from used method f we re fced wth lck or shortge condton of mesurng stton nd regsterng regonl prmeters. Fndng locl reltons (wth hgh correlton) between constnt nd vrble prmeters such s heght from se level, lttude, rnfll nd mportnt regonl fctors ( cover mny shortges of dt n these condtons. It s needed to sy for wde re fndng dequte relton between regonl prmeters, rnfll, lttude nd heght from se level s possble rrely. Accordng to obtned results from CRM nd RMSE comprson n stton form nd monthly suggested tht use modfed equton of Blney - Crddle n Abdeh stton, modfed Hrgreves equton for Doroudzn dm stton nd new form of modfed Hrgreves model for south of Irn. REFERENCES [] Allen, R.G., L.S. Perer, D. Res nd M. Smth, 998. Crop Evpotrnsprton Gudelnes for computng crop wter requrements, FAO Irrgton nd Drnge Pper 56, FAO, ISBN [] Alzdeh, A.A., 003. Wter, sol nd plnt journl, Fourth edton. [3] Ahmd, S.H. nd H.R. Fooldmnd, 008. Sptlly dstrbuted monthly reference evpotrnsprton derved from the clbrton of Thornthwte equton: cse study, South of Irn. Irrgton Scences, 6: [4] Byte Movhed, F., 006. Estmton of evpotrnsprton usng GIS n Znjnrud ctchment. Ntonl Conference of Mngement of Irrgton nd Drnge, 7. [5] Fooldmnd, H.R. nd M. Hghght, 007. Sptl nd temporl clbrton of Hrgreves equton for clcultng monthly ET o bsed on Penmn - Monteth method. Irrg. Drn, 56:

6 85 Mehrdd Emd et l, 04 [6] Fooldmnd, H.R., H. Zndlk nd M.H. Rvnn, 008. Comprson of dfferent types of Hrgreves equton for estmtng monthly evpotrnsprton n the south of Irn. Arch. Agron. Sol Sc. 54: [7] Fooldmnd, H.R. nd S.H. Ahmd, 009. Monthly sptl clbrton of Blney - Crddle equton for clcultng monthly ET o n south of Irn. Irrg. Drn, 58: [8] Fooldmnd, H.R., R. Torb nd A. Amndn, 009. Sttstc pplcton n sol nd wter. Mrvdsht, Islmc Azd Unvercty pubctons, Frst edton, [9] Fooldmnd, H.R., 0. A clbrton of Blney - Crddle equton for clcultng monthly ET o n south of Irn. Irrg. Drn, 58: [0] Fooldmnd, H.R., 0. Evluton of Blney - crddle equtons for estmtng evpotrnsprton n south of Irn. Agrculturl Reserch, 6(3): [] French, M.N., W.F. Kryewsk nd R.R. Cuykendll., 99. Rnfll forecstng n spce nd tme usng neurl networks, J. Hydrol, 37: -37. [] Poormohmmd, S., H. Mleknejd nd M.H. Rhmyn, 00. Investgtng the role of physogrphcl fctors on effectve therml prmeters on evporton (cse study: Yzd Provnce) Khosh boom reserch nd scentfc journl, (): 9-9.

Applied Statistics Qualifier Examination

Applied Statistics Qualifier Examination Appled Sttstcs Qulfer Exmnton Qul_june_8 Fll 8 Instructons: () The exmnton contns 4 Questons. You re to nswer 3 out of 4 of them. () You my use ny books nd clss notes tht you mght fnd helpful n solvng

More information

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x)

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x) DCDM BUSINESS SCHOOL NUMEICAL METHODS (COS -8) Solutons to Assgnment Queston Consder the followng dt: 5 f() 8 7 5 () Set up dfference tble through fourth dfferences. (b) Wht s the mnmum degree tht n nterpoltng

More information

Principle Component Analysis

Principle Component Analysis Prncple Component Anlyss Jng Go SUNY Bufflo Why Dmensonlty Reducton? We hve too mny dmensons o reson bout or obtn nsghts from o vsulze oo much nose n the dt Need to reduce them to smller set of fctors

More information

International Journal of Pure and Applied Sciences and Technology

International Journal of Pure and Applied Sciences and Technology Int. J. Pure Appl. Sc. Technol., () (), pp. 44-49 Interntonl Journl of Pure nd Appled Scences nd Technolog ISSN 9-67 Avlle onlne t www.jopst.n Reserch Pper Numercl Soluton for Non-Lner Fredholm Integrl

More information

4. Eccentric axial loading, cross-section core

4. Eccentric axial loading, cross-section core . Eccentrc xl lodng, cross-secton core Introducton We re strtng to consder more generl cse when the xl force nd bxl bendng ct smultneousl n the cross-secton of the br. B vrtue of Snt-Vennt s prncple we

More information

Definition of Tracking

Definition of Tracking Trckng Defnton of Trckng Trckng: Generte some conclusons bout the moton of the scene, objects, or the cmer, gven sequence of mges. Knowng ths moton, predct where thngs re gong to project n the net mge,

More information

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II Mcroeconomc Theory I UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS MSc n Economcs MICROECONOMIC THEORY I Techng: A Lptns (Note: The number of ndctes exercse s dffculty level) ()True or flse? If V( y )

More information

Statistics and Probability Letters

Statistics and Probability Letters Sttstcs nd Probblty Letters 79 (2009) 105 111 Contents lsts vlble t ScenceDrect Sttstcs nd Probblty Letters journl homepge: www.elsever.com/locte/stpro Lmtng behvour of movng verge processes under ϕ-mxng

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter.4 Newton-Rphson Method of Solvng Nonlner Equton After redng ths chpter, you should be ble to:. derve the Newton-Rphson method formul,. develop the lgorthm of the Newton-Rphson method,. use the Newton-Rphson

More information

Statistics 423 Midterm Examination Winter 2009

Statistics 423 Midterm Examination Winter 2009 Sttstcs 43 Mdterm Exmnton Wnter 009 Nme: e-ml: 1. Plese prnt your nme nd e-ml ddress n the bove spces.. Do not turn ths pge untl nstructed to do so. 3. Ths s closed book exmnton. You my hve your hnd clcultor

More information

Katholieke Universiteit Leuven Department of Computer Science

Katholieke Universiteit Leuven Department of Computer Science Updte Rules for Weghted Non-negtve FH*G Fctorzton Peter Peers Phlp Dutré Report CW 440, Aprl 006 Ktholeke Unverstet Leuven Deprtment of Computer Scence Celestjnenln 00A B-3001 Heverlee (Belgum) Updte Rules

More information

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC Introducton Rnk One Updte And the Google Mtrx y Al Bernsten Sgnl Scence, LLC www.sgnlscence.net here re two dfferent wys to perform mtrx multplctons. he frst uses dot product formulton nd the second uses

More information

Investigation phase in case of Bragg coupling

Investigation phase in case of Bragg coupling Journl of Th-Qr Unversty No.3 Vol.4 December/008 Investgton phse n cse of Brgg couplng Hder K. Mouhmd Deprtment of Physcs, College of Scence, Th-Qr, Unv. Mouhmd H. Abdullh Deprtment of Physcs, College

More information

523 P a g e. is measured through p. should be slower for lesser values of p and faster for greater values of p. If we set p*

523 P a g e. is measured through p. should be slower for lesser values of p and faster for greater values of p. If we set p* R. Smpth Kumr, R. Kruthk, R. Rdhkrshnn / Interntonl Journl of Engneerng Reserch nd Applctons (IJERA) ISSN: 48-96 www.jer.com Vol., Issue 4, July-August 0, pp.5-58 Constructon Of Mxed Smplng Plns Indexed

More information

GAUSS ELIMINATION. Consider the following system of algebraic linear equations

GAUSS ELIMINATION. Consider the following system of algebraic linear equations Numercl Anlyss for Engneers Germn Jordnn Unversty GAUSS ELIMINATION Consder the followng system of lgebrc lner equtons To solve the bove system usng clsscl methods, equton () s subtrcted from equton ()

More information

Quiz: Experimental Physics Lab-I

Quiz: Experimental Physics Lab-I Mxmum Mrks: 18 Totl tme llowed: 35 mn Quz: Expermentl Physcs Lb-I Nme: Roll no: Attempt ll questons. 1. In n experment, bll of mss 100 g s dropped from heght of 65 cm nto the snd contner, the mpct s clled

More information

Electrochemical Thermodynamics. Interfaces and Energy Conversion

Electrochemical Thermodynamics. Interfaces and Energy Conversion CHE465/865, 2006-3, Lecture 6, 18 th Sep., 2006 Electrochemcl Thermodynmcs Interfces nd Energy Converson Where does the energy contrbuton F zϕ dn come from? Frst lw of thermodynmcs (conservton of energy):

More information

Investigation of Fatality Probability Function Associated with Injury Severity and Age. Toshiyuki Yanaoka, Akihiko Akiyama, Yukou Takahashi

Investigation of Fatality Probability Function Associated with Injury Severity and Age. Toshiyuki Yanaoka, Akihiko Akiyama, Yukou Takahashi Investgton of Ftlty Probblty Functon Assocted wth Injury Severty nd Age Toshyuk Ynok, Akhko Akym, Yukou Tkhsh Abstrct The gol of ths study s to develop ftlty probblty functon ssocted wth njury severty

More information

LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN FRACTAL HEAT TRANSFER

LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN FRACTAL HEAT TRANSFER Yn, S.-P.: Locl Frctonl Lplce Seres Expnson Method for Dffuson THERMAL SCIENCE, Yer 25, Vol. 9, Suppl., pp. S3-S35 S3 LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN

More information

Research Article On the Upper Bounds of Eigenvalues for a Class of Systems of Ordinary Differential Equations with Higher Order

Research Article On the Upper Bounds of Eigenvalues for a Class of Systems of Ordinary Differential Equations with Higher Order Hndw Publshng Corporton Interntonl Journl of Dfferentl Equtons Volume 0, Artcle ID 7703, pges do:055/0/7703 Reserch Artcle On the Upper Bounds of Egenvlues for Clss of Systems of Ordnry Dfferentl Equtons

More information

Remember: Project Proposals are due April 11.

Remember: Project Proposals are due April 11. Bonformtcs ecture Notes Announcements Remember: Project Proposls re due Aprl. Clss 22 Aprl 4, 2002 A. Hdden Mrov Models. Defntons Emple - Consder the emple we tled bout n clss lst tme wth the cons. However,

More information

The Schur-Cohn Algorithm

The Schur-Cohn Algorithm Modelng, Estmton nd Otml Flterng n Sgnl Processng Mohmed Njm Coyrght 8, ISTE Ltd. Aendx F The Schur-Cohn Algorthm In ths endx, our m s to resent the Schur-Cohn lgorthm [] whch s often used s crteron for

More information

CALIBRATION OF SMALL AREA ESTIMATES IN BUSINESS SURVEYS

CALIBRATION OF SMALL AREA ESTIMATES IN BUSINESS SURVEYS CALIBRATION OF SMALL AREA ESTIMATES IN BUSINESS SURVES Rodolphe Prm, Ntle Shlomo Southmpton Sttstcl Scences Reserch Insttute Unverst of Southmpton Unted Kngdom SAE, August 20 The BLUE-ETS Project s fnnced

More information

MEASURING THE EFFECT OF PRODUCTION FACTORS ON YIELD OF GREENHOUSE TOMATO PRODUCTION USING MULTIVARIATE MODEL

MEASURING THE EFFECT OF PRODUCTION FACTORS ON YIELD OF GREENHOUSE TOMATO PRODUCTION USING MULTIVARIATE MODEL MEASURING THE EFFECT OF PRODUCTION FACTORS ON YIELD OF GREENHOUSE TOMATO PRODUCTION USING MULTIVARIATE MODEL Mrn Nkoll, MSc Ilr Kpj, PhD An Kpj (Mne), Prof. As. Jon Mullr Agrculture Unversty of Trn Alfons

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter 0.04 Newton-Rphson Method o Solvng Nonlner Equton Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson

More information

A Family of Multivariate Abel Series Distributions. of Order k

A Family of Multivariate Abel Series Distributions. of Order k Appled Mthemtcl Scences, Vol. 2, 2008, no. 45, 2239-2246 A Fmly of Multvrte Abel Seres Dstrbutons of Order k Rupk Gupt & Kshore K. Ds 2 Fculty of Scence & Technology, The Icf Unversty, Agrtl, Trpur, Ind

More information

Solution of Tutorial 5 Drive dynamics & control

Solution of Tutorial 5 Drive dynamics & control ELEC463 Unversty of New South Wles School of Electrcl Engneerng & elecommunctons ELEC463 Electrc Drve Systems Queston Motor Soluton of utorl 5 Drve dynmcs & control 500 rev/mn = 5.3 rd/s 750 rted 4.3 Nm

More information

Identification of Robot Arm s Joints Time-Varying Stiffness Under Loads

Identification of Robot Arm s Joints Time-Varying Stiffness Under Loads TELKOMNIKA, Vol.10, No.8, December 2012, pp. 2081~2087 e-issn: 2087-278X ccredted by DGHE (DIKTI), Decree No: 51/Dkt/Kep/2010 2081 Identfcton of Robot Arm s Jonts Tme-Vryng Stffness Under Lods Ru Xu 1,

More information

Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions:

Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions: Physcs 121 Smple Common Exm 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7 Nme (Prnt): 4 Dgt ID: Secton: Instructons: Answer ll 27 multple choce questons. You my need to do some clculton. Answer ech queston on the

More information

MATHEMATICAL MODEL AND STATISTICAL ANALYSIS OF THE TENSILE STRENGTH (Rm) OF THE STEEL QUALITY J55 API 5CT BEFORE AND AFTER THE FORMING OF THE PIPES

MATHEMATICAL MODEL AND STATISTICAL ANALYSIS OF THE TENSILE STRENGTH (Rm) OF THE STEEL QUALITY J55 API 5CT BEFORE AND AFTER THE FORMING OF THE PIPES 6 th Reserch/Exert Conference wth Interntonl Prtcton QUALITY 009, Neum, B&H, June 04 07, 009 MATHEMATICAL MODEL AND STATISTICAL ANALYSIS OF THE TENSILE STRENGTH (Rm) OF THE STEEL QUALITY J55 API 5CT BEFORE

More information

Linear and Nonlinear Optimization

Linear and Nonlinear Optimization Lner nd Nonlner Optmzton Ynyu Ye Deprtment of Mngement Scence nd Engneerng Stnford Unversty Stnford, CA 9430, U.S.A. http://www.stnford.edu/~yyye http://www.stnford.edu/clss/msnde/ Ynyu Ye, Stnford, MS&E

More information

UNIVERSITY OF KWAZULU-NATAL EXAMINATIONS: JUNE 2007

UNIVERSITY OF KWAZULU-NATAL EXAMINATIONS: JUNE 2007 EXAMINATIONS: SUBJECT, COURSE AND CODE: HYDROLOGY 20 DURATION: HOURS TOTAL MARKS: 00 Internl Exminer : Ms ML Wrburton : Prof RE Schulze : Ms KT Chetty : Mr MJC Horn Externl Exminer : Prof PJT Roberts STUDENTS

More information

Chapter 5 Supplemental Text Material R S T. ij i j ij ijk

Chapter 5 Supplemental Text Material R S T. ij i j ij ijk Chpter 5 Supplementl Text Mterl 5-. Expected Men Squres n the Two-fctor Fctorl Consder the two-fctor fxed effects model y = µ + τ + β + ( τβ) + ε k R S T =,,, =,,, k =,,, n gven s Equton (5-) n the textook.

More information

The Study of Lawson Criterion in Fusion Systems for the

The Study of Lawson Criterion in Fusion Systems for the Interntonl Archve of Appled Scences nd Technology Int. Arch. App. Sc. Technol; Vol 6 [] Mrch : -6 Socety of ducton, Ind [ISO9: 8 ertfed Orgnzton] www.soeg.co/st.html OD: IAASA IAAST OLI ISS - 6 PRIT ISS

More information

Chemical Reaction Engineering

Chemical Reaction Engineering Lecture 20 hemcl Recton Engneerng (RE) s the feld tht studes the rtes nd mechnsms of chemcl rectons nd the desgn of the rectors n whch they tke plce. Lst Lecture Energy Blnce Fundmentls F 0 E 0 F E Q W

More information

6 Roots of Equations: Open Methods

6 Roots of Equations: Open Methods HK Km Slghtly modfed 3//9, /8/6 Frstly wrtten t Mrch 5 6 Roots of Equtons: Open Methods Smple Fed-Pont Iterton Newton-Rphson Secnt Methods MATLAB Functon: fzero Polynomls Cse Study: Ppe Frcton Brcketng

More information

Population Projection of the Districts Noakhali, Feni, Lakhshmipur and Comilla, Bangladesh by Using Logistic Growth Model

Population Projection of the Districts Noakhali, Feni, Lakhshmipur and Comilla, Bangladesh by Using Logistic Growth Model Pure nd Appled Mthemtcs Journl 017; 6(6): 164-176 http://www.scencepublshnggroup.com/j/pmj do: 10.11648/j.pmj.0170606.13 ISSN: 36-9790 (Prnt); ISSN: 36-981 (Onlne) Populton Projecton of the Dstrcts Nokhl,

More information

Introduction to Numerical Integration Part II

Introduction to Numerical Integration Part II Introducton to umercl Integrton Prt II CS 75/Mth 75 Brn T. Smth, UM, CS Dept. Sprng, 998 4/9/998 qud_ Intro to Gussn Qudrture s eore, the generl tretment chnges the ntegrton prolem to ndng the ntegrl w

More information

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. with respect to λ. 1. χ λ χ λ ( ) λ, and thus:

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. with respect to λ. 1. χ λ χ λ ( ) λ, and thus: More on χ nd errors : uppose tht we re fttng for sngle -prmeter, mnmzng: If we epnd The vlue χ ( ( ( ; ( wth respect to. χ n Tlor seres n the vcnt of ts mnmum vlue χ ( mn χ χ χ χ + + + mn mnmzes χ, nd

More information

Variable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia

Variable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia Vrble tme mpltude mplfcton nd quntum lgorthms for lner lgebr Andrs Ambns Unversty of Ltv Tlk outlne. ew verson of mpltude mplfcton;. Quntum lgorthm for testng f A s sngulr; 3. Quntum lgorthm for solvng

More information

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus ESI 34 tmospherc Dnmcs I Lesson 1 Vectors nd Vector lculus Reference: Schum s Outlne Seres: Mthemtcl Hndbook of Formuls nd Tbles Suggested Redng: Mrtn Secton 1 OORDINTE SYSTEMS n orthonorml coordnte sstem

More information

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1 Denns Brcker, 2001 Dept of Industrl Engneerng The Unversty of Iow MDP: Tx pge 1 A tx serves three djcent towns: A, B, nd C. Ech tme the tx dschrges pssenger, the drver must choose from three possble ctons:

More information

Least squares. Václav Hlaváč. Czech Technical University in Prague

Least squares. Václav Hlaváč. Czech Technical University in Prague Lest squres Václv Hlváč Czech echncl Unversty n Prgue hlvc@fel.cvut.cz http://cmp.felk.cvut.cz/~hlvc Courtesy: Fred Pghn nd J.P. Lews, SIGGRAPH 2007 Course; Outlne 2 Lner regresson Geometry of lest-squres

More information

Solubilities and Thermodynamic Properties of SO 2 in Ionic

Solubilities and Thermodynamic Properties of SO 2 in Ionic Solubltes nd Therodync Propertes of SO n Ionc Lquds Men Jn, Yucu Hou, b Weze Wu, *, Shuhng Ren nd Shdong Tn, L Xo, nd Zhgng Le Stte Key Lbortory of Checl Resource Engneerng, Beng Unversty of Checl Technology,

More information

Smart Motorways HADECS 3 and what it means for your drivers

Smart Motorways HADECS 3 and what it means for your drivers Vehcle Rentl Smrt Motorwys HADECS 3 nd wht t mens for your drvers Vehcle Rentl Smrt Motorwys HADECS 3 nd wht t mens for your drvers You my hve seen some news rtcles bout the ntroducton of Hghwys Englnd

More information

Correlation and Regression. Correlation 9.1. Correlation. Chapter 9

Correlation and Regression. Correlation 9.1. Correlation. Chapter 9 Chapter 9 Correlaton and Regresson 9. Correlaton Correlaton A correlaton s a relatonshp between two varables. The data can be represented b the ordered pars (, ) where s the ndependent (or eplanator) varable,

More information

Effects of polarization on the reflected wave

Effects of polarization on the reflected wave Lecture Notes. L Ros PPLIED OPTICS Effects of polrzton on the reflected wve Ref: The Feynmn Lectures on Physcs, Vol-I, Secton 33-6 Plne of ncdence Z Plne of nterfce Fg. 1 Y Y r 1 Glss r 1 Glss Fg. Reflecton

More information

Chemical Reaction Engineering

Chemical Reaction Engineering Lecture 20 hemcl Recton Engneerng (RE) s the feld tht studes the rtes nd mechnsms of chemcl rectons nd the desgn of the rectors n whch they tke plce. Lst Lecture Energy Blnce Fundmentls F E F E + Q! 0

More information

The Number of Rows which Equal Certain Row

The Number of Rows which Equal Certain Row Interntonl Journl of Algebr, Vol 5, 011, no 30, 1481-1488 he Number of Rows whch Equl Certn Row Ahmd Hbl Deprtment of mthemtcs Fcult of Scences Dmscus unverst Dmscus, Sr hblhmd1@gmlcom Abstrct Let be X

More information

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers Jens Sebel (Unversty of Appled Scences Kserslutern) An Interctve Introducton to Complex Numbers 1. Introducton We know tht some polynoml equtons do not hve ny solutons on R/. Exmple 1.1: Solve x + 1= for

More information

Lecture 5 Single factor design and analysis

Lecture 5 Single factor design and analysis Lectue 5 Sngle fcto desgn nd nlss Completel ndomzed desgn (CRD Completel ndomzed desgn In the desgn of expements, completel ndomzed desgns e fo studng the effects of one pm fcto wthout the need to tke

More information

LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION IN A TWO-LAYERED SLAB

LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION IN A TWO-LAYERED SLAB Journl of Appled Mthemtcs nd Computtonl Mechncs 5, 4(4), 5-3 www.mcm.pcz.pl p-issn 99-9965 DOI:.75/jmcm.5.4. e-issn 353-588 LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION

More information

ORDINARY DIFFERENTIAL EQUATIONS

ORDINARY DIFFERENTIAL EQUATIONS 6 ORDINARY DIFFERENTIAL EQUATIONS Introducton Runge-Kutt Metods Mult-step Metods Sstem o Equtons Boundr Vlue Problems Crcterstc Vlue Problems Cpter 6 Ordnr Derentl Equtons / 6. Introducton In mn engneerng

More information

APPENDIX 2 FITTING A STRAIGHT LINE TO OBSERVATIONS

APPENDIX 2 FITTING A STRAIGHT LINE TO OBSERVATIONS Unversty of Oulu Student Laboratory n Physcs Laboratory Exercses n Physcs 1 1 APPEDIX FITTIG A STRAIGHT LIE TO OBSERVATIOS In the physcal measurements we often make a seres of measurements of the dependent

More information

6. Chemical Potential and the Grand Partition Function

6. Chemical Potential and the Grand Partition Function 6. Chemcl Potentl nd the Grnd Prtton Functon ome Mth Fcts (see ppendx E for detls) If F() s n nlytc functon of stte vrles nd such tht df d pd then t follows: F F p lso snce F p F we cn conclude: p In other

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The Order Relation and Trace Inequalities for. Hermitian Operators Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence

More information

An identification algorithm of model kinetic parameters of the interfacial layer growth in fiber composites

An identification algorithm of model kinetic parameters of the interfacial layer growth in fiber composites IOP Conference Seres: Materals Scence and Engneerng PAPER OPE ACCESS An dentfcaton algorthm of model knetc parameters of the nterfacal layer growth n fber compostes o cte ths artcle: V Zubov et al 216

More information

NUMERICAL MODELLING OF A CILIUM USING AN INTEGRAL EQUATION

NUMERICAL MODELLING OF A CILIUM USING AN INTEGRAL EQUATION NUEICAL ODELLING OF A CILIU USING AN INTEGAL EQUATION IHAI EBICAN, DANIEL IOAN Key words: Cl, Numercl nlyss, Electromgnetc feld, gnetton. The pper presents fst nd ccurte method to model the mgnetc behvour

More information

Humidity Distributions in Multilayered Walls of High-rise Buildings

Humidity Distributions in Multilayered Walls of High-rise Buildings Humdty Dstrbutons n Multlyered Wlls of Hh-rse Buldns Ol Gmyunov,*,Ttn Musorn nd Alender Ishkov 2 Peter the Gret St. Petersbur Polytechnc Unversty, 29 Poltechnchesky Str., St. Petersbur, 9525, Russ 2 Moscow

More information

Review of linear algebra. Nuno Vasconcelos UCSD

Review of linear algebra. Nuno Vasconcelos UCSD Revew of lner lgebr Nuno Vsconcelos UCSD Vector spces Defnton: vector spce s set H where ddton nd sclr multplcton re defned nd stsf: ) +( + ) (+ )+ 5) λ H 2) + + H 6) 3) H, + 7) λ(λ ) (λλ ) 4) H, - + 8)

More information

Lecture 4: Piecewise Cubic Interpolation

Lecture 4: Piecewise Cubic Interpolation Lecture notes on Vrtonl nd Approxmte Methods n Appled Mthemtcs - A Perce UBC Lecture 4: Pecewse Cubc Interpolton Compled 6 August 7 In ths lecture we consder pecewse cubc nterpolton n whch cubc polynoml

More information

Multiple view geometry

Multiple view geometry EECS 442 Computer vson Multple vew geometry Perspectve Structure from Moton - Perspectve structure from moton prolem - mgutes - lgerc methods - Fctorzton methods - Bundle djustment - Self-clrton Redng:

More information

4. More general extremum principles and thermodynamic potentials

4. More general extremum principles and thermodynamic potentials 4. More generl etremum prncples nd thermodynmc potentls We hve seen tht mn{u(s, X )} nd m{s(u, X)} mply one nother. Under certn condtons, these prncples re very convenent. For emple, ds = 1 T du T dv +

More information

The Minimum Universal Cost Flow in an Infeasible Flow Network

The Minimum Universal Cost Flow in an Infeasible Flow Network Journal of Scences, Islamc Republc of Iran 17(2): 175-180 (2006) Unversty of Tehran, ISSN 1016-1104 http://jscencesutacr The Mnmum Unversal Cost Flow n an Infeasble Flow Network H Saleh Fathabad * M Bagheran

More information

Beam based calibration for beam position monitor

Beam based calibration for beam position monitor TBLA0 Bem bsed clbrton for bem poston montor 5-SEP-05 IBIC05 Melbourne M. Tejm KEK Contents Clbrton t the bennn Includn mppn of BPM hed lnment nd n clbrton of electrc crcut. Bem bsed lnment BBA n net er

More information

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert Demnd Demnd nd Comrtve Sttcs ECON 370: Mcroeconomc Theory Summer 004 Rce Unversty Stnley Glbert Usng the tools we hve develoed u to ths ont, we cn now determne demnd for n ndvdul consumer We seek demnd

More information

Polynomial Regression Models

Polynomial Regression Models LINEAR REGRESSION ANALYSIS MODULE XII Lecture - 6 Polynomal Regresson Models Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur Test of sgnfcance To test the sgnfcance

More information

Evaluation of Liquefaction Return Period for Bangalore Based on Standard Penetration Test Data: Performance Based Approach

Evaluation of Liquefaction Return Period for Bangalore Based on Standard Penetration Test Data: Performance Based Approach Amercn J. of Engneerng nd Appled Scences 2 (3): 537-543, 2009 ISSN 1941-7020 2009 Scence Publctons Evluton of Lquefcton Return Perod for Bnglore Bsed on Stndrd Penetrton Test Dt: Performnce Bsed Approch

More information

Haddow s Experiment:

Haddow s Experiment: schemtc drwng of Hddow's expermentl set-up movng pston non-contctng moton sensor bems of sprng steel poston vres to djust frequences blocks of sold steel shker Hddow s Experment: terr frm Theoretcl nd

More information

DESIGN OF MULTILOOP CONTROLLER FOR THREE TANK PROCESS USING CDM TECHNIQUES

DESIGN OF MULTILOOP CONTROLLER FOR THREE TANK PROCESS USING CDM TECHNIQUES DESIGN OF MULTILOOP CONTROLLER FOR THREE TANK PROCESS USING CDM TECHNIQUES N. Kngsb 1 nd N. Jy 2 1,2 Deprtment of Instrumentton Engneerng,Annml Unversty, Annmlngr, 608002, Ind ABSTRACT In ths study the

More information

CISE 301: Numerical Methods Lecture 5, Topic 4 Least Squares, Curve Fitting

CISE 301: Numerical Methods Lecture 5, Topic 4 Least Squares, Curve Fitting CISE 3: umercl Methods Lecture 5 Topc 4 Lest Squres Curve Fttng Dr. Amr Khouh Term Red Chpter 7 of the tetoo c Khouh CISE3_Topc4_Lest Squre Motvton Gven set of epermentl dt 3 5. 5.9 6.3 The reltonshp etween

More information

THE ISOHYDRIC RESPONSE TO SHADING: PREDICTING ORCHARD WATER USE UNDER SCREENS Shabtai Cohen, Josef Tanny, and Amos Naor ABSTRACT

THE ISOHYDRIC RESPONSE TO SHADING: PREDICTING ORCHARD WATER USE UNDER SCREENS Shabtai Cohen, Josef Tanny, and Amos Naor ABSTRACT Dhl Grednger Interntonl Symposum 9 89 THE ISOHYDRIC RESPONSE TO SHADING: PREDICTING ORCHARD WATER USE UNDER SCREENS Shbt Cohen, Josef Tnny, nd Amos Nor Insttute of Sol, Wter nd Envronmentl Scences, ARO

More information

Lesson 2. Thermomechanical Measurements for Energy Systems (MENR) Measurements for Mechanical Systems and Production (MMER)

Lesson 2. Thermomechanical Measurements for Energy Systems (MENR) Measurements for Mechanical Systems and Production (MMER) Lesson 2 Thermomechncl Mesurements for Energy Systems (MEN) Mesurements for Mechncl Systems nd Producton (MME) 1 A.Y. 2015-16 Zccr (no ) Del Prete A U The property A s clled: «mesurnd» the reference property

More information

Stratified Extreme Ranked Set Sample With Application To Ratio Estimators

Stratified Extreme Ranked Set Sample With Application To Ratio Estimators Journl of Modern Appled Sttstcl Metods Volume 3 Issue Artcle 5--004 Strtfed Extreme Rned Set Smple Wt Applcton To Rto Estmtors Hn M. Smw Sultn Qboos Unversty, smw@squ.edu.om t J. Sed Sultn Qboos Unversty

More information

INTRODUCTION TO COMPLEX NUMBERS

INTRODUCTION TO COMPLEX NUMBERS INTRODUCTION TO COMPLEX NUMBERS The numers -4, -3, -, -1, 0, 1,, 3, 4 represent the negtve nd postve rel numers termed ntegers. As one frst lerns n mddle school they cn e thought of s unt dstnce spced

More information

Online Appendix to. Mandating Behavioral Conformity in Social Groups with Conformist Members

Online Appendix to. Mandating Behavioral Conformity in Social Groups with Conformist Members Onlne Appendx to Mndtng Behvorl Conformty n Socl Groups wth Conformst Members Peter Grzl Andrze Bnk (Correspondng uthor) Deprtment of Economcs, The Wllms School, Wshngton nd Lee Unversty, Lexngton, 4450

More information

Valuated Binary Tree: A New Approach in Study of Integers

Valuated Binary Tree: A New Approach in Study of Integers Internatonal Journal of Scentfc Innovatve Mathematcal Research (IJSIMR) Volume 4, Issue 3, March 6, PP 63-67 ISS 347-37X (Prnt) & ISS 347-34 (Onlne) wwwarcournalsorg Valuated Bnary Tree: A ew Approach

More information

The heat budget of the atmosphere and the greenhouse effect

The heat budget of the atmosphere and the greenhouse effect The het budget of the tmosphere nd the greenhouse effect 1. Solr rdition 1.1 Solr constnt The rdition coming from the sun is clled solr rdition (shortwve rdition). Most of the solr rdition is visible light

More information

MATH FIELD DAY Contestants Insructions Team Essay. 1. Your team has forty minutes to answer this set of questions.

MATH FIELD DAY Contestants Insructions Team Essay. 1. Your team has forty minutes to answer this set of questions. MATH FIELD DAY 2012 Contestnts Insructions Tem Essy 1. Your tem hs forty minutes to nswer this set of questions. 2. All nswers must be justified with complete explntions. Your nswers should be cler, grmmticlly

More information

Partially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism

Partially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism CS294-40 Lernng for Rootcs nd Control Lecture 10-9/30/2008 Lecturer: Peter Aeel Prtlly Oservle Systems Scre: Dvd Nchum Lecture outlne POMDP formlsm Pont-sed vlue terton Glol methods: polytree, enumerton,

More information

6.6 The Marquardt Algorithm

6.6 The Marquardt Algorithm 6.6 The Mqudt Algothm lmttons of the gdent nd Tylo expnson methods ecstng the Tylo expnson n tems of ch-sque devtves ecstng the gdent sech nto n tetve mtx fomlsm Mqudt's lgothm utomtclly combnes the gdent

More information

Chapter 8. Potential Energy and Conservation of Energy

Chapter 8. Potential Energy and Conservation of Energy Chapter 8 Potental Energy and Conservaton of Energy In ths chapter we wll ntroduce the followng concepts: Potental Energy Conservatve and non-conservatve forces Mechancal Energy Conservaton of Mechancal

More information

In this Chapter. Chap. 3 Markov chains and hidden Markov models. Probabilistic Models. Example: CpG Islands

In this Chapter. Chap. 3 Markov chains and hidden Markov models. Probabilistic Models. Example: CpG Islands In ths Chpter Chp. 3 Mrov chns nd hdden Mrov models Bontellgence bortory School of Computer Sc. & Eng. Seoul Ntonl Unversty Seoul 5-74, Kore The probblstc model for sequence nlyss HMM (hdden Mrov model)

More information

MATH SS124 Sec 39 Concepts summary with examples

MATH SS124 Sec 39 Concepts summary with examples This note is mde for students in MTH124 Section 39 to review most(not ll) topics I think we covered in this semester, nd there s exmples fter these concepts, go over this note nd try to solve those exmples

More information

8. INVERSE Z-TRANSFORM

8. INVERSE Z-TRANSFORM 8. INVERSE Z-TRANSFORM The proce by whch Z-trnform of tme ere, nmely X(), returned to the tme domn clled the nvere Z-trnform. The nvere Z-trnform defned by: Computer tudy Z X M-fle trn.m ued to fnd nvere

More information

CHOVER-TYPE LAWS OF THE ITERATED LOGARITHM FOR WEIGHTED SUMS OF ρ -MIXING SEQUENCES

CHOVER-TYPE LAWS OF THE ITERATED LOGARITHM FOR WEIGHTED SUMS OF ρ -MIXING SEQUENCES CHOVER-TYPE LAWS OF THE ITERATED LOGARITHM FOR WEIGHTED SUMS OF ρ -MIXING SEQUENCES GUANG-HUI CAI Receved 24 September 2004; Revsed 3 My 2005; Accepted 3 My 2005 To derve Bum-Ktz-type result, we estblsh

More information

Chapter 13: Multiple Regression

Chapter 13: Multiple Regression Chapter 13: Multple Regresson 13.1 Developng the multple-regresson Model The general model can be descrbed as: It smplfes for two ndependent varables: The sample ft parameter b 0, b 1, and b are used to

More information

Study of Trapezoidal Fuzzy Linear System of Equations S. M. Bargir 1, *, M. S. Bapat 2, J. D. Yadav 3 1

Study of Trapezoidal Fuzzy Linear System of Equations S. M. Bargir 1, *, M. S. Bapat 2, J. D. Yadav 3 1 mercn Interntonl Journl of Reserch n cence Technology Engneerng & Mthemtcs vlble onlne t http://wwwsrnet IN (Prnt: 38-349 IN (Onlne: 38-3580 IN (CD-ROM: 38-369 IJRTEM s refereed ndexed peer-revewed multdscplnry

More information

Math Calculus with Analytic Geometry II

Math Calculus with Analytic Geometry II orem of definite Mth 5.0 with Anlytic Geometry II Jnury 4, 0 orem of definite If < b then b f (x) dx = ( under f bove x-xis) ( bove f under x-xis) Exmple 8 0 3 9 x dx = π 3 4 = 9π 4 orem of definite Problem

More information

Name: SID: Discussion Session:

Name: SID: Discussion Session: Nme: SID: Dscusson Sesson: hemcl Engneerng hermodynmcs -- Fll 008 uesdy, Octoer, 008 Merm I - 70 mnutes 00 onts otl losed Book nd Notes (5 ponts). onsder n del gs wth constnt het cpctes. Indcte whether

More information

? plate in A G in

? plate in A G in Proble (0 ponts): The plstc block shon s bonded to rgd support nd to vertcl plte to hch 0 kp lod P s ppled. Knong tht for the plstc used G = 50 ks, deterne the deflecton of the plte. Gven: G 50 ks, P 0

More information

Analysis of Geometric, Zernike and United Moment Invariants Techniques Based on Intra-class Evaluation

Analysis of Geometric, Zernike and United Moment Invariants Techniques Based on Intra-class Evaluation 0 Ffth Interntonl Conference on Intellgent Systes, odellng nd Sulton Anlyss of Geoetrc, ernke nd Unted oent Invrnts Technques Bsed on Intr-clss Evluton ohd Wf srudn *, Shhrul z Ykob, Roze Rzf Othn, Iszdy

More information

Jean Fernand Nguema LAMETA UFR Sciences Economiques Montpellier. Abstract

Jean Fernand Nguema LAMETA UFR Sciences Economiques Montpellier. Abstract Stochstc domnnce on optml portfolo wth one rsk less nd two rsky ssets Jen Fernnd Nguem LAMETA UFR Scences Economques Montpeller Abstrct The pper provdes restrctons on the nvestor's utlty functon whch re

More information

M/G/1/GD/ / System. ! Pollaczek-Khinchin (PK) Equation. ! Steady-state probabilities. ! Finding L, W q, W. ! π 0 = 1 ρ

M/G/1/GD/ / System. ! Pollaczek-Khinchin (PK) Equation. ! Steady-state probabilities. ! Finding L, W q, W. ! π 0 = 1 ρ M/G//GD/ / System! Pollcze-Khnchn (PK) Equton L q 2 2 λ σ s 2( + ρ ρ! Stedy-stte probbltes! π 0 ρ! Fndng L, q, ) 2 2 M/M/R/GD/K/K System! Drw the trnston dgrm! Derve the stedy-stte probbltes:! Fnd L,L

More information

A Hybrid Variational Iteration Method for Blasius Equation

A Hybrid Variational Iteration Method for Blasius Equation Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method

More information

THERMAL EXPANSION COEFFICIENT OF WATER FOR VOLUMETRIC CALIBRATION

THERMAL EXPANSION COEFFICIENT OF WATER FOR VOLUMETRIC CALIBRATION XX IMEKO World Congress Metrology for Green Growth September 9,, Busn, Republic of Kore THERMAL EXPANSION COEFFICIENT OF WATER FOR OLUMETRIC CALIBRATION Nieves Medin Hed of Mss Division, CEM, Spin, mnmedin@mityc.es

More information

Effectiveness and Efficiency Analysis of Parallel Flow and Counter Flow Heat Exchangers

Effectiveness and Efficiency Analysis of Parallel Flow and Counter Flow Heat Exchangers Interntonl Journl of Applton or Innovton n Engneerng & Mngement (IJAIEM) Web Ste: www.jem.org Eml: edtor@jem.org Effetveness nd Effeny Anlyss of Prllel Flow nd Counter Flow Het Exngers oopes wr 1, Dr.Govnd

More information

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4)

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4) I. Classcal Assumptons Econ7 Appled Econometrcs Topc 3: Classcal Model (Studenmund, Chapter 4) We have defned OLS and studed some algebrac propertes of OLS. In ths topc we wll study statstcal propertes

More information

Chapter 7. Bounds for weighted sums of Random Variables

Chapter 7. Bounds for weighted sums of Random Variables Chpter 7. Bouds for weghted sums of Rdom Vrbles 7. Itroducto Let d 2 be two depedet rdom vrbles hvg commo dstrbuto fucto. Htczeko (998 d Hu d L (2000 vestgted the Rylegh dstrbuto d obted some results bout

More information

Model Fitting and Robust Regression Methods

Model Fitting and Robust Regression Methods Dertment o Comuter Engneerng Unverst o Clorn t Snt Cruz Model Fttng nd Robust Regresson Methods CMPE 64: Imge Anlss nd Comuter Vson H o Fttng lnes nd ellses to mge dt Dertment o Comuter Engneerng Unverst

More information