Triangles Technique for Time and Location Finding of the Lightning Discharge in Spherical Model of the Earth

Size: px
Start display at page:

Download "Triangles Technique for Time and Location Finding of the Lightning Discharge in Spherical Model of the Earth"

Transcription

1 Joual of Geocece ad Evomet Potecto Publhed Ole Apl 06 ScRe Tagle Techque fo Tme ad Locato Fdg of the Lghtg Dchage Sphecal Model of the Eath Aatoly Lozb Yuy Shpad Alexade Ich Scetfc Space Sytem Laboatoy Ittute of Space Techque ad Techologe Almaty Kazakhta Receved 5 Febuay 06; accepted 5 Apl 06; publhed 8 Apl 06 Copyght 06 by autho ad Scetfc Reeach Publhg Ic Th wok lceed ude the Ceatve Commo Attbuto Iteatoal Lcee (CC BY Abtact The phecal model of tme ad locato calculato of the lghtg dchage gve The calculato ae made by mea of ado gal detecto by eo of the dtbuted etwok The full oluto of a poblem of lghtg dchage cloud-goud type locato fo thee eo gve Baed o th tak the lghtg locato method fo a etwok of eo wa developed By mea of computatoal expemet the aaly of accuacy of the model depedg o ado gal detecto accuacy at obevg tato wa doe Keywod Lghtg Tme of Aval Techque (TOA Atmophec Sphecal Tgoomety Itoducto Let P( ϕ θ be dffeet pot o the Eath uface wth logtude ϕ ad lattude θ I thee pot we have eo ecevg a ado gal fom lghtg dchage Let thee wa a lghtg dchage the tme momet t ome pot P( ϕ θ of the Eath uface Rado gal fom th dchage wee detected by the eo the t tme pot Aumg that the ado gal (low fequecy eache each eo o the hotet way alog a Eath uface we wll eceve ytem of thee equato fo lghtg dchage tme ad locato detemato PP c ( t t ( whee PP legth of a malle ach of a bg ccle of the teetal phee coectg pot c the peed of ado wave P ad How to cte th pape: Lozb A Shpad Y ad Ich A (06 Tagle Techque fo Tme ad Locato Fdg of the Lghtg Dchage Sphecal Model of the Eath Joual of Geocece ad Evomet Potecto P

2 A Lozb et al The ytem of thee Equato ( qute defed a t ha thee ukow: coodate ϕ θ ad tme of dchage t I a tak we beleve that the lghtg dchage ca occu ay place o Eath uface that : π π π < ϕ π θ Becaue of phycal ee tmepot of dchage t mut happeed befoe all tmepot of t detecto o all eo that : t m t ( O the othe had the way paed by a ado gal to each eo ca t be moe tha legth of a em-ccle of a bg ccle of the Globe Fom th follow that max t π c t ( R e whee R e Eath adu Baed o ( ad ( we coclude that tmepot of the lghtg dchage mut be the teval Sytem ( Featue c R e max π m t t t (4 Let code ome featue of the ytem ( Ug the geocetc coodate ytem whch coected wth Eath we wll ete gle vecto { x y z} ad { x y z} hodogaph of the pot P( ϕ θ ad P( ϕ θ Coodate of the vecto ad coected wth phecal coodate of the pot P ad P by the equato: x coϕ co θ π π y ϕ co θ π < ϕ π θ z θ x coϕ co θ π π y ϕ co θ π < ϕ π θ z θ Applyg a cala poduct of vecto we ca how dtace fom eo to a lghtg a PP R acco ( e I geocetc coodate ytem the cala poduct dcloe by the equato: ad phecal coodate ytem: xx + yy + zz coθ coθ co ϕ ϕ + θ θ (5 Let put (5 to ( ad dvde equato o R e I eult lead the ytem ( to acco C t t (6 R whee CR c Re t whch ft compoet defe locato of the lghtg dchage ad the ecod the momet coepodg to t the oluto of ytem (6 f t atfe to each equato of th ytem We wll code that tmepot t ae umbeed accodg to ceae of the value The pa { } 6

3 A Lozb et al Othewe we wll chage umbeg of pot P accodg to (7 Let code a dffeece of two equato of ytem (6 t t t (7 ( ( R( acco acco C t t > (8 Fo a phecal tagle wth vetexe P P ad P whch de located o the ame hemphee the tatemet mla to tagle o the plae fa the abolute value of a dffeece of two de alway le tha thd de Thu Fom th equato ad (8 t follow that ( ( ( acco acco acco C t t acco > (9 R The Iequato (9 epeet a eceay codto fo olvablty of the ytem of Equato ( Thu f the dffeece of the lghtg tmepot meaued by each couple of eo doe ot meet a equemet (9 to defe locato ad tme of a lghtg dchage baed o thee eo t mpoble The caue of daagemet of a Iequato (9 ca be a eo of detfcato of lghtg dchage at eo o be a coequece of eo of meaug equpmet Futhe we beleve that the equemet (9 met Geometcally each of the Equato (8 defe a et of pot P o the gle phee Dffeece of dtace of thee pot o a phee uface up to two fxed pot P ad P the cotat ad equal CR( t t Pot P P ad P ae adal poecto of pot P P ad P to the gle phee wth avg of the phecal coodate By aalogy wth the plae th et of pot P called a a hypebole Pot P ad P ae focue of a hypebole The focal legth equal acco ( c (0 em-tavee ax a CR ( t t > ( Futhe we aume that equato (9 doe ot ext ad the tct equato we have a < c > ( Theeby we exclude a cae whe the hypebole degeeate a ach teval Ulke a flat cae hypebole o the phee the lmted cloed cuve ad moeove t cocde wth a phecal ellpe Really ug the detcal equato: let u fd acco x π acco x x ( ( ˆ acco π acco ( whee ˆ - a ut vecto oppote vecto Plug ( to (8 we get a equato: acco + acco ˆ π a Th equato defe a geometcal et of pot P The um of dtace of thee pot o the phee up to two fxed pot P ( ϕ θ ad Pˆ ( ˆ ˆ ϕ θ P ( ϕ θ equal to cotat π a that coepod to deπ fto of a ellpe o the phee Focal legth of a ellpe equally c c ad mao em-ax π a a We wll otce that all pot of th ellpe ae located o a plae lmted hemphee ad th plae pag though the cete of Eath pepedcula to a vecto + ˆ 7

4 A Lozb et al The vualzato of the Equato (8 gve by fucto gaph: ( acco ( acco ( f ϕ θ whch epeeted Fgue a cyldcal ectagula poecto Hypebole (ellpe ae le of level of th fucto Focue of all hypebole ae located pot P ad P whch ae ot maked o gaph but ymmetzed o the equato wth epect to zeo meda ad the eal axe ae equal to value of fucto f ϕ θ o the epectve level le Paametezato of a Sphecal Hypebole Let u fd the paametcal equato fo a hypebole (8 Let u add γ half-plae whch a pa out fom vecto ad ca otate aoud th vecto We wll otce that at ay locato γ half-plae ha oe ad oly oe geeal pot wth a hypebole Th fact the ba fo defto of the paametcal equato of a hypebole Pevouly we wll ceate othogoal coodate ytem wth epect of whch thee wll be a γ half-plae otato To defe β plae whch vecto ad belogg to Let u cotuct a gle omal vecto to the plae β whee c (4 c defed by Equato (0 ad add vecto beleve that (5 vecto choe that ode ae fom the ght tple of gle vecto vecto a omal to β plae ad vecto ae belogg to th plae Double vecto poduct expadg we fd ( ( co c (6 c c c Thu the vecto a lea combato of vecto ad complaaty Add vecto ad that atual becaue of vecto γ coψ + ψ 0 ψ < π (7 Fgue Gaph of the fucto f ( ϕ θ Agle value ae degee 8

5 A Lozb et al ad dect γ half-plae alog th vecto At chage ψ agle wth 0 to π the vecto γ togethe wth half-plae γ wll make a complete evoluto aoud the ax pag though a vecto Rotato of a vecto wth ceae of the ψ wll happe couteclockwe f to look fom the ed of a vecto to the plae of vecto ad (potve otato utay vecto ytem Thu the ψ agle the value whch defg each pot of a hypebole Futhe we wll fd elatohp betwee vecto ad ψ The vecto wth half-plae γ theefoe t equal to a lea combato of vecto ad γ co λ + λ 0 < λ < π (8 γ whee λ - a fucto of the ψ The geometcal ee the λ t agle betwee ad Pluggg fom (7 to (8 we wll get vecto eoluto by utay vecto ad γ vecto co λ + λcoψ + λψ (9 Fo the fdg depedece λ fom ψ we wll plug (9 to ytem of Equato (8 Fom the Equato (4-(8 takg to accout degato (0-( ad featue of the vecto multplcato we wll fd the dot poduct: 0 Afte pluggg (9 to (8 we wll get a equato whch afte accoe veo chaged to ( c co co с co с с с с acco co с co λ с coψ λ a + λ co c co λ c coψ λ co a + λ (0 Becaue of ( the co a co c > 0 the fom (0 we get fom th we have a c coψ ctg λ co a co c a c coψ λ acctg 0 ψ < π co a co c The Equato ( gve u ukow elatohp betwee λ ad ψ The we wll ty to fd λ mag chage If the ψ 0 f the ψ π λ max λ m ( c a ( a co + c acctg acctg c a co a co c c a ( c + a a co c acctg acctg π + co a co c c + a Theefoe λ value ae atfy of the equato ( c a ( 0 < c a λ π c + a < π ( By ug e ad coe of the λ agle though cot we wll get: 9

6 A Lozb et al a c coψ co λ + co a co c λ ( co a co c ( a c coψ ( co a co c + ( a c coψ ( Thu the equed paametcal equato fo a hypebole (8 et by Equato (9 whch λ value defed by equato ( o fom the Equato ( 4 The Sytem ( Solvg By excludg t equato fom d ad d (6 we wll get equvalet ytem: ( CR( t t ( ( CR( t t ( ( C ( t t acco acco acco acco acco R Two lat equato decbe two hypebole whch have the geeal focu et by vecto Theeof the paametcal Equato (9 of thee hypebole ca be educed to oe paamete Fo th pupoe t eceay to combe otato of half-plae γ ad γ whch poceed fom the ame ax et by a vecto ad defe the poto of the cuet pot o the ft ad ecod hypebole A a eult two paametcal equato of hypebole depedg o oe geeal value we have A pot of teecto of hypebole wll defe the poto of a lghtg dchage We wll gve the coepodg fomula Paametcal equato of the d equato the ytem (4: co λ + λ coψ + λ ψ (5 whee co c a c coψ ctg λ co a co c c c (4 c acco ( a C ( t t R Paametcal equato of the d equato the ytem (4: co λ + λ coψ + λ ψ (6 whee co c a c coψ ctg λ co a co c c c c acco ( a C ( t t R At the ame value ψ ad ψ the agle ψ 0 betwee half-plae γ ad γ equal to agle betwee vecto ad e ψ 0 acco ( (7 Let the vecto ae ght o the cala tple poduct potve x y z x y z > 0 (8 x y z The at the half-plae γ ad γ couplg the ϕ agle wth ay value wll be exceed ϕ o the cotat ϕ 0 o the Equato (9 wll be ght 0

7 A Lozb et al ϕ ϕ ϕ0 (9 If the cala tple poduct of the vecto и egatve fo educto to a Iequato (8 t eough to chage umbeg of vecto ad ytem (4 By pluggg (9 (6 we wll eceve the paametcal equato of two hypebole whch deped o oe paamete ϕ Vecto ad a pot of teecto of hypebole mut be cocde I ode that ad wee equal the equalty of agle λ ad λ eceay ad uffcet A thee agle ae defed de 0 π teval o whch the cot bach alo defed the cot of thee agle ae equal ctg λ ctg λ By pluggg cot value we wll get equato elatve to ϕ ( ψ ψ a co c coψ a c co a co c co a co c 0 By detcal tafomato the Equato (0 wll be a whee Beleve that we get equato: Aψ + Bcoψ C c ψ 0 A co a co c c coψ 0 c B co a co c co a co c a a C co a co c co a co c A coς A + B B ς A + B ( ς C whee A + B Depedg o value thee cae ae poble: If < the hypebole ae coed two pot (0 ψ + ( k ψ ς + ac + kπ k 0 If ± the hypebole have oe geeal pot π ψ ς ± If > the hypebole have o geeal pot ad the tak of lghtg poto defto ha o oluto Afte ψ fdg the λ calculated ad the vecto defg the poto of a lghtg dchage The vecto a pot of a lghtg dchage cocde wth a vecto To lghtg dchage thee ca coepod oly oe pot of teecto of hypebole whch we wll call actual The ecod pot a coequece of cog of two cloed covex cuve leag at each othe Th

8 A Lozb et al pot we wll call phatom Tmepot of both lghtg dchage (actual ad phatom ae defe by fomula ( whch develop fom the ft equato of ytem (8: t t acco ( CR Thu f the lghtg detecto etwok cot oly of thee eo the wth codto ( keepg we have actual poto of a lghtg ad a a ule thee a phatom pot Fo ytem of the Equato (4 both of t oluto ae equal Theefoe to allocate a lghtg actual pot addtoal fomato eceay Fo example fo th pupoe t poble to ue a vecto of ducto of a magetc compoet of the accepted ado gal of a lghtg whch coodate ca be eceved by mea of the bdectoal magetc atea [] [] Howeve a appea fom the aaly of the Equato ( ome tuato depedg o mutual poto of eo ad lghtg dchage poto of the actual ad phatom gal ca be vey cloe that doe a poblem wth eal gal epaato 5 Example I a demotato example thee meauemet pot whch ae codtoally placed ea the cte of Almaty Taldykoga ad Kaphagay (Republc of Kazakhta wee elected The coepodg tmepot ae calculated the aumpto that the lghtg dchage occued ea Ataa cty Zeo wa take fo tal coutg of tme Gve data fo calculato ae peeted Table I tet calculato of dchage tme the tak oluto the followg value wee take: Speed of ado wave km/ Aveage Eath adu 6708 km A a eult of the tak oluto two pot of the lghtg dchage wth vaou tmepot of a dchage ae defed Reult of calculato ae gve Table Paamete of the actual ad phatom pot of the lghtg dchage ae mutually eveble That f accodg to a phatom pot povded Table to defe tme of egtato of the lghtg dchage ad to make calculato of a lghtg dchage the we wll eceve the ame eult gve Table Lghtg dchage locato ad tmepot a phatom pot ae dplaced wth epect to actual 6 Tagle Techque Applcato fo Tmepot ad Locato of the Lghtg Dchage fo Set of Seo Let code a et of N eo located adomly o the Eath uface the pot P( ϕ θ N N > Let pot P ( ϕ θ thee wa a lghtg dchage the gal fom whch eache each tato momet t We wll put complace to each pot P( ϕ θ a ut vecto of t hodogaph { x y z} ad pot I th cae the ytem ( wll expad to N of lghtg dchage P ( ϕ θ -ut vecto { x y z } Table Seo locato ad tmepot of the lghtg dchage detecto Seo aea Logtude of the eo degee Lattude of the eo degee Lghtg dchage detecto tmepot Almaty Taldykoga Kaphagay Table Calculato eult Soluto # Logtude degee Lattude degee Tmepot of lghtg dchage (Ataa ego (Phatom pot

9 A Lozb et al equato ( R( acco C t t N ( We wll make ubytem fom the equato of ytem ( cludg thee equato to each ubytem We wll call uch ubytem a tad I total t poble to make M tad fom N equato whee N N M ( ( N Let each tad of the Equato ( have two oluto We wll cotuct the et of oluto { k tk} k M of all tad ad calculate fuctoal value o each oluto If the fuctoal F( t ( ϕθ acco ( ( 6 N R (4 F t C t t ϕθ at ay oluto { k tk} wll become zeo (t poble wth gve accuacy ε > 0 the th pa wll be a ytem ( oluto If F( ϕθ t > 0 at ay oluto { k tk} the fo appoxmate oluto of the ytem ( we chooe oluto whee fuctoal F( ϕθ t ha lowe value Wthout log a geealty we wll uppoe that { t } { t} Fo a aemet of the eceved oluto of ytem ( we wll allocate the ubet cludg the M actual oluto fom a et of all oluto of tad Fo th pupoe we ue the atual aumpto that o the actual oluto the fuctoal F( ϕθ t have lee value tha o phatom oluto ( cae of thee eo thee value cocde ad both ae equal to zeo If both oluto of ome tad ae cloe to each othe the ae cae th aumpto ca be volated We wll umbe th ubet value a k M We wll deteme a athmetc aveage value o a ubet of actual oluto M M t M t M Fo the accuacy akg of the appoxmato { t } dtace betwee ad at tme-dffeece δ Re (5 at the poto of the lghtg dchage we take a acco ( t t t (6 δ (7 The gade of dpeo of teecto pot of hypebole chaactezed by a aveage quae devato fom the poto of the oluto whch calculated by fomula ( acco M Re M (8 Fo the aaly of the gve techque a umbe of umecal expemet wa executed I all expemet the ame goup of 6 eo wth coodate ae gve Table wa ued Numecal expemet ae gve fo thee pot of a lghtg placed vaou ego of Kazakhta emoved fom each othe the Noth Wet ad Eat Fo each lghtg coodate ae et ad codtoally exact tme of detecto wth p accuacy calculated The zeo momet of each lghtg dchage each expemet takg Lghtg paamete ae gve Table 4 I addto fo the ubequet aaly the dtace fom tato to a pot of the lghtg pecfed Table 4 The poblem of each expemet coted lghtg poto ad tal momet calculato wth tagle techque depedg o the accuacy of lghtg detecto o tato Tme of lghtg detecto wa et by oudg of exact value of the momet of detecto gve Table 4 by tep-by-tep appoxmato to 0 00 ad μ Reult of calculato ae gve Table 5-7

10 A Lozb et al Table Seo locato Stato # Logtude degee Lattude degee Rego of the Stato Almaty Taldykoga Kaphagay Taaz Balkhah Shu Table 4 Lghtg dchage paamete Stato # Lghtg coodate: -Logtude 7 -Lattude 5 -Ataa cty Lghtg detecto tmepot Dtace fom tato to lghtg km Lghtg coodate: -Logtude 5 -Lattude 44 -Aktau cty Lghtg detecto tmepot Dtace fom tato to lghtg km Lghtg detecto tmepot Lghtg coodate: -Logtude 85 -Lattude 47 -Zaa cty Dtace fom tato to lghtg km Table 5 The eult of expemet fo lghtg Ataa cty ego (5 N 7 E Lghtg tmepot meauemet accuacy Lghtg logtude degee Lghtg lattude degee Tme of lghtg Accuacy δ km The mea tme of lghtg Mea quae devato km Devato fom the exact poto km μ Table 6 The eult of expemet fo lghtg Aktau cty ego (44 N 5 E Lghtg tmepot meauemet accuacy Lghtg logtude degee Lghtg lattude degee Tme of lghtg Accuacy δ km The mea tme of lghtg Mea quae devato km Devato fom the exact poto km μ

11 A Lozb et al Table 7 The eult of expemet fo lghtg Zaa cty ego (47 N 85 E Lghtg tmepotmeaumet accuacy Lghtg logtude degee Lghtg lattude degee Tme of lghtg Accuacy δ km The mea tme of lghtg Meaquaedevato km Devato fom the exact poto km μ Cocluo Compag chage of eult of lghtg dchage tme ad locato calculato o ato of ceae of a eo of lghtg detecto tme t poble to make a cocluo that the peeted techque of calculato effectve ad elable f the detecto accuacy doe ot exceed 00 aoecod Sce the accuacy of mcoecod age of hypebole teecto pot dpeo fo dffeet tad whch chaactezed by ceae dtace betwee them ad accdet of the mutual poto codeably ceae Ackowledgemet The wok uppoted by the Gat 000/GF4 of Mty of Educato ad Scece of the Republc of Kazakhta Refeece [] Kohak WJ ad Solakewcz RJ (00 TOA Lghtg Locato Reteval o Sphecal ad Oblate Spheodal Eath Geomete Joual of Atmophec ad Oceac Techology [] Kute FA Bulatov AA ad Shlyugaev YuV (04 The Developmet of the Lghtg Detecto Netwok Baed o BoltekStomTacke Hadwae XV Iteatoal Cofeece o Atmophec Electcty Noma 5-0 Jue

University of Pavia, Pavia, Italy. North Andover MA 01845, USA

University of Pavia, Pavia, Italy. North Andover MA 01845, USA Iteatoal Joual of Optmzato: heoy, Method ad Applcato 27-5565(Pt) 27-6839(Ole) wwwgph/otma 29 Global Ifomato Publhe (HK) Co, Ltd 29, Vol, No 2, 55-59 η -Peudoleaty ad Effcecy Gogo Gog, Noma G Rueda 2 *

More information

Harmonic Curvatures in Lorentzian Space

Harmonic Curvatures in Lorentzian Space BULLETIN of the Bull Malaya Math Sc Soc Secod See 7-79 MALAYSIAN MATEMATICAL SCIENCES SOCIETY amoc Cuvatue Loetza Space NEJAT EKMEKÇI ILMI ACISALIOĞLU AND KĀZIM İLARSLAN Aaa Uvety Faculty of Scece Depatmet

More information

Phys 2310 Fri. Oct. 23, 2017 Today s Topics. Begin Chapter 6: More on Geometric Optics Reading for Next Time

Phys 2310 Fri. Oct. 23, 2017 Today s Topics. Begin Chapter 6: More on Geometric Optics Reading for Next Time Py F. Oct., 7 Today Topc Beg Capte 6: Moe o Geometc Optc eadg fo Next Tme Homewok t Week HW # Homewok t week due Mo., Oct. : Capte 4: #47, 57, 59, 6, 6, 6, 6, 67, 7 Supplemetal: Tck ee ad e Sytem Pcple

More information

Distribution of Geometrically Weighted Sum of Bernoulli Random Variables

Distribution of Geometrically Weighted Sum of Bernoulli Random Variables Appled Mathematc, 0,, 8-86 do:046/am095 Publhed Ole Novembe 0 (http://wwwscrpog/oual/am) Dtbuto of Geometcally Weghted Sum of Beoull Radom Vaable Abtact Deepeh Bhat, Phazamle Kgo, Ragaath Naayaachaya Ratthall

More information

The Geometric Proof of the Hecke Conjecture

The Geometric Proof of the Hecke Conjecture The Geometc Poof of the Hecke Cojectue Kada Sh Depatmet of Mathematc Zhejag Ocea Uvety Zhouha Cty 6 Zhejag Povce Cha Atact Begg fom the eoluto of Dchlet fucto ug the e poduct fomula of two fte-dmeoal vecto

More information

Chapter 2: Descriptive Statistics

Chapter 2: Descriptive Statistics Chapte : Decptve Stattc Peequte: Chapte. Revew of Uvaate Stattc The cetal teecy of a oe o le yetc tbuto of a et of teval, o hghe, cale coe, ofte uaze by the athetc ea, whch efe a We ca ue the ea to ceate

More information

On Eigenvalues of Nonlinear Operator Pencils with Many Parameters

On Eigenvalues of Nonlinear Operator Pencils with Many Parameters Ope Scece Joual of Matheatc ad Applcato 5; 3(4): 96- Publhed ole Jue 5 (http://wwwopececeoleco/oual/oa) O Egevalue of Nolea Opeato Pecl wth May Paaete Rakhhada Dhabaadeh Guay Salaova Depatet of Fuctoal

More information

( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi

( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi Assgmet /MATH 47/Wte Due: Thusday Jauay The poblems to solve ae umbeed [] to [] below Fst some explaatoy otes Fdg a bass of the colum-space of a max ad povg that the colum ak (dmeso of the colum space)

More information

Detection and Estimation Theory

Detection and Estimation Theory ESE 54 Detecto ad Etmato Theoy Joeph A. O Sullva Samuel C. Sach Pofeo Electoc Sytem ad Sgal Reeach Laboatoy Electcal ad Sytem Egeeg Wahgto Uvety Ubaue Hall 34-935-473 (Lyda awe) jao@wutl.edu J. A. O'S.

More information

= y and Normed Linear Spaces

= y and Normed Linear Spaces 304-50 LINER SYSTEMS Lectue 8: Solutos to = ad Nomed Lea Spaces 73 Fdg N To fd N, we eed to chaacteze all solutos to = 0 Recall that ow opeatos peseve N, so that = 0 = 0 We ca solve = 0 ecusvel backwads

More information

ASYMPTOTICS OF THE GENERALIZED STATISTICS FOR TESTING THE HYPOTHESIS UNDER RANDOM CENSORING

ASYMPTOTICS OF THE GENERALIZED STATISTICS FOR TESTING THE HYPOTHESIS UNDER RANDOM CENSORING IJRRAS 3 () Novembe www.apape.com/volume/vol3iue/ijrras_3.pdf ASYMPOICS OF HE GENERALIZE SAISICS FOR ESING HE HYPOHESIS UNER RANOM CENSORING A.A. Abduhukuov & N.S. Numuhamedova Natoal Uvety of Uzbekta

More information

XII. Addition of many identical spins

XII. Addition of many identical spins XII. Addto of may detcal sps XII.. ymmetc goup ymmetc goup s the goup of all possble pemutatos of obects. I total! elemets cludg detty opeato. Each pemutato s a poduct of a ceta fte umbe of pawse taspostos.

More information

Professor Wei Zhu. 1. Sampling from the Normal Population

Professor Wei Zhu. 1. Sampling from the Normal Population AMS570 Pofesso We Zhu. Samplg fom the Nomal Populato *Example: We wsh to estmate the dstbuto of heghts of adult US male. It s beleved that the heght of adult US male follows a omal dstbuto N(, ) Def. Smple

More information

SYSTEMS OF NON-LINEAR EQUATIONS. Introduction Graphical Methods Close Methods Open Methods Polynomial Roots System of Multivariable Equations

SYSTEMS OF NON-LINEAR EQUATIONS. Introduction Graphical Methods Close Methods Open Methods Polynomial Roots System of Multivariable Equations SYSTEMS OF NON-LINEAR EQUATIONS Itoduto Gaphal Method Cloe Method Ope Method Polomal Root Stem o Multvaale Equato Chapte Stem o No-Lea Equato /. Itoduto Polem volvg o-lea equato egeeg lude optmato olvg

More information

Minimum Hyper-Wiener Index of Molecular Graph and Some Results on Szeged Related Index

Minimum Hyper-Wiener Index of Molecular Graph and Some Results on Szeged Related Index Joual of Multdscplay Egeeg Scece ad Techology (JMEST) ISSN: 359-0040 Vol Issue, Febuay - 05 Mmum Hype-Wee Idex of Molecula Gaph ad Some Results o eged Related Idex We Gao School of Ifomato Scece ad Techology,

More information

Intuitionistic Fuzzy Stability of n-dimensional Cubic Functional Equation: Direct and Fixed Point Methods

Intuitionistic Fuzzy Stability of n-dimensional Cubic Functional Equation: Direct and Fixed Point Methods Ite. J. Fuzzy Mathematcal Achve Vol. 7 No. 205 - ISSN: 220 242 (P 220 250 (ole Publhed o2 Jauay 205 www.eeachmathc.og Iteatoal Joual of Itutotc Fuzzy Stablty of -Dmeoal Cubc Fuctoal Equato: Dect ad Fxed

More information

CS473-Algorithms I. Lecture 12b. Dynamic Tables. CS 473 Lecture X 1

CS473-Algorithms I. Lecture 12b. Dynamic Tables. CS 473 Lecture X 1 CS473-Algorthm I Lecture b Dyamc Table CS 473 Lecture X Why Dyamc Table? I ome applcato: We do't kow how may object wll be tored a table. We may allocate pace for a table But, later we may fd out that

More information

GREEN S FUNCTION FOR HEAT CONDUCTION PROBLEMS IN A MULTI-LAYERED HOLLOW CYLINDER

GREEN S FUNCTION FOR HEAT CONDUCTION PROBLEMS IN A MULTI-LAYERED HOLLOW CYLINDER Joual of ppled Mathematcs ad Computatoal Mechacs 4, 3(3), 5- GREE S FUCTIO FOR HET CODUCTIO PROBLEMS I MULTI-LYERED HOLLOW CYLIDER Stasław Kukla, Uszula Sedlecka Isttute of Mathematcs, Czestochowa Uvesty

More information

Question 1. Typical Cellular System. Some geometry TELE4353. About cellular system. About cellular system (2)

Question 1. Typical Cellular System. Some geometry TELE4353. About cellular system. About cellular system (2) TELE4353 Moble a atellte Commucato ystems Tutoal 1 (week 3-4 4 Questo 1 ove that fo a hexagoal geomety, the co-chael euse ato s gve by: Q (3 N Whee N + j + j 1/ 1 Typcal Cellula ystem j cells up cells

More information

Non-axial symmetric loading on axial symmetric. Final Report of AFEM

Non-axial symmetric loading on axial symmetric. Final Report of AFEM No-axal symmetc loadg o axal symmetc body Fal Repot of AFEM Ths poject does hamoc aalyss of o-axal symmetc loadg o axal symmetc body. Shuagxg Da, Musket Kamtokat 5//009 No-axal symmetc loadg o axal symmetc

More information

Born-Oppenheimer Approximation. Kaito Takahashi

Born-Oppenheimer Approximation. Kaito Takahashi o-oppehee ppoato Kato Takahah toc Ut Fo quatu yte uch a ecto ad olecule t eae to ue ut that ft the=tomc UNT Ue a of ecto (ot kg) Ue chage of ecto (ot coulob) Ue hba fo agula oetu (ot kg - ) Ue 4pe 0 fo

More information

Quasi-Rational Canonical Forms of a Matrix over a Number Field

Quasi-Rational Canonical Forms of a Matrix over a Number Field Avace Lea Algeba & Matx Theoy, 08, 8, -0 http://www.cp.og/joual/alamt ISSN Ole: 65-3348 ISSN Pt: 65-333X Qua-Ratoal Caocal om of a Matx ove a Numbe el Zhueg Wag *, Qg Wag, Na Q School of Mathematc a Stattc,

More information

Collapsing to Sample and Remainder Means. Ed Stanek. In order to collapse the expanded random variables to weighted sample and remainder

Collapsing to Sample and Remainder Means. Ed Stanek. In order to collapse the expanded random variables to weighted sample and remainder Collapg to Saple ad Reader Mea Ed Staek Collapg to Saple ad Reader Average order to collape the expaded rado varable to weghted aple ad reader average, we pre-ultpled by ( M C C ( ( M C ( M M M ( M M M,

More information

Trace of Positive Integer Power of Adjacency Matrix

Trace of Positive Integer Power of Adjacency Matrix Global Joual of Pue ad Appled Mathematcs. IN 097-78 Volume, Numbe 07), pp. 079-087 Reseach Ida Publcatos http://www.publcato.com Tace of Postve Itege Powe of Adacecy Matx Jagdsh Kuma Pahade * ad Mao Jha

More information

such that for 1 From the definition of the k-fibonacci numbers, the firsts of them are presented in Table 1. Table 1: First k-fibonacci numbers F 1

such that for 1 From the definition of the k-fibonacci numbers, the firsts of them are presented in Table 1. Table 1: First k-fibonacci numbers F 1 Scholas Joual of Egeeg ad Techology (SJET) Sch. J. Eg. Tech. 0; (C):669-67 Scholas Academc ad Scetfc Publshe (A Iteatoal Publshe fo Academc ad Scetfc Resouces) www.saspublshe.com ISSN -X (Ole) ISSN 7-9

More information

CLUJ AND RELATED POLYNOMIALS IN BIPARTITE HYPERCUBE HYPERTUBES

CLUJ AND RELATED POLYNOMIALS IN BIPARTITE HYPERCUBE HYPERTUBES SDIA UBB CHEMIA LXI Tom II 0 p. 8-9 RECOMMENDED CITATION Dedcated to Pofeo Eml Codoș o the occao of h 80 th aeay CLUJ AND RELATED POLYNOMIALS IN BIPARTITE HYPERCUBE HYPERBES MAHBOUBEH SAHELI a AMIR LOGHMAN

More information

Fairing of Parametric Quintic Splines

Fairing of Parametric Quintic Splines ISSN 46-69 Eglad UK Joual of Ifomato ad omputg Scece Vol No 6 pp -8 Fag of Paametc Qutc Sples Yuau Wag Shagha Isttute of Spots Shagha 48 ha School of Mathematcal Scece Fuda Uvesty Shagha 4 ha { P t )}

More information

RECAPITULATION & CONDITIONAL PROBABILITY. Number of favourable events n E Total number of elementary events n S

RECAPITULATION & CONDITIONAL PROBABILITY. Number of favourable events n E Total number of elementary events n S Fomulae Fo u Pobablty By OP Gupta [Ida Awad We, +91-9650 350 480] Impotat Tems, Deftos & Fomulae 01 Bascs Of Pobablty: Let S ad E be the sample space ad a evet a expemet espectvely Numbe of favouable evets

More information

Improved Parameter Estimation in Rayleigh Model

Improved Parameter Estimation in Rayleigh Model etodološ zvez, Vol. 3, No., 6, 63-74 Impoved Paamete Etmato Raylegh odel Smal ahd Abtact I th pape we decbe ad peet eult o the paamete pot etmato fo the cale ad thehold paamete of the Raylegh dtbuto. Fve

More information

Objectives. Learning Outcome. 7.1 Centre of Gravity (C.G.) 7. Statics. Determine the C.G of a lamina (Experimental method)

Objectives. Learning Outcome. 7.1 Centre of Gravity (C.G.) 7. Statics. Determine the C.G of a lamina (Experimental method) Ojectves 7 Statcs 7. Cete of Gavty 7. Equlum of patcles 7.3 Equlum of g oes y Lew Sau oh Leag Outcome (a) efe cete of gavty () state the coto whch the cete of mass s the cete of gavty (c) state the coto

More information

Reaction Time VS. Drug Percentage Subject Amount of Drug Times % Reaction Time in Seconds 1 Mary John Carl Sara William 5 4

Reaction Time VS. Drug Percentage Subject Amount of Drug Times % Reaction Time in Seconds 1 Mary John Carl Sara William 5 4 CHAPTER Smple Lear Regreo EXAMPLE A expermet volvg fve ubject coducted to determe the relatohp betwee the percetage of a certa drug the bloodtream ad the legth of tme t take the ubject to react to a tmulu.

More information

VECTOR MECHANICS FOR ENGINEERS: Vector Mechanics for Engineers: Dynamics. In the current chapter, you will study the motion of systems of particles.

VECTOR MECHANICS FOR ENGINEERS: Vector Mechanics for Engineers: Dynamics. In the current chapter, you will study the motion of systems of particles. Seeth Edto CHPTER 4 VECTOR MECHNICS FOR ENINEERS: DYNMICS Fedad P. ee E. Russell Johsto, J. Systems of Patcles Lectue Notes: J. Walt Ole Texas Tech Uesty 003 The Mcaw-Hll Compaes, Ic. ll ghts eseed. Seeth

More information

The Linear Probability Density Function of Continuous Random Variables in the Real Number Field and Its Existence Proof

The Linear Probability Density Function of Continuous Random Variables in the Real Number Field and Its Existence Proof MATEC Web of Cofeeces ICIEA 06 600 (06) DOI: 0.05/mateccof/0668600 The ea Pobablty Desty Fucto of Cotuous Radom Vaables the Real Numbe Feld ad Its Estece Poof Yya Che ad Ye Collee of Softwae, Taj Uvesty,

More information

NONDIFFERENTIABLE MATHEMATICAL PROGRAMS. OPTIMALITY AND HIGHER-ORDER DUALITY RESULTS

NONDIFFERENTIABLE MATHEMATICAL PROGRAMS. OPTIMALITY AND HIGHER-ORDER DUALITY RESULTS HE PUBLISHING HOUSE PROCEEDINGS OF HE ROMANIAN ACADEMY, See A, OF HE ROMANIAN ACADEMY Volue 9, Nube 3/8,. NONDIFFERENIABLE MAHEMAICAL PROGRAMS. OPIMALIY AND HIGHER-ORDER DUALIY RESULS Vale PREDA Uvety

More information

Spectral Problems of Two-Parameter System of Operators

Spectral Problems of Two-Parameter System of Operators Pue ad Appled Matheatc Joual 5; 4(4-: 33-37 Publhed ole Augut, 5 (http://wwwcecepublhggoupco//pa do: 648/pa5447 ISSN: 36-979 (Pt; ISSN: 36-98 (Ole Spectal Poble of Two-Paaete Syte of Opeato Rahhada Dhabaadeh

More information

ROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K

ROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K ROOT-LOCUS ANALYSIS Coder a geeral feedback cotrol yte wth a varable ga. R( Y( G( + H( Root-Locu a plot of the loc of the pole of the cloed-loop trafer fucto whe oe of the yte paraeter ( vared. Root locu

More information

An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. Super-efficiency infeasibility and zero data in DEA: An alternative approach

An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. Super-efficiency infeasibility and zero data in DEA: An alternative approach [Type text] [Type text] [Type text] ISSN : 0974-7435 Volue 0 Iue 7 BoTechology 204 A Ida Joual FULL PAPER BTAIJ, 0(7), 204 [773-779] Supe-effcecy feablty ad zeo data DEA: A alteatve appoach Wag Q, Guo

More information

Kinematics. Redundancy. Task Redundancy. Operational Coordinates. Generalized Coordinates. m task. Manipulator. Operational point

Kinematics. Redundancy. Task Redundancy. Operational Coordinates. Generalized Coordinates. m task. Manipulator. Operational point Mapulato smatc Jot Revolute Jot Kematcs Base Lks: movg lk fed lk Ed-Effecto Jots: Revolute ( DOF) smatc ( DOF) Geealzed Coodates Opeatoal Coodates O : Opeatoal pot 5 costats 6 paametes { postos oetatos

More information

Lecture 10: Condensed matter systems

Lecture 10: Condensed matter systems Lectue 0: Codesed matte systems Itoducg matte ts codesed state.! Ams: " Idstgushable patcles ad the quatum atue of matte: # Cosequeces # Revew of deal gas etopy # Femos ad Bosos " Quatum statstcs. # Occupato

More information

Inequalities for Dual Orlicz Mixed Quermassintegrals.

Inequalities for Dual Orlicz Mixed Quermassintegrals. Advaces Pue Mathematcs 206 6 894-902 http://wwwscpog/joual/apm IN Ole: 260-0384 IN Pt: 260-0368 Iequaltes fo Dual Olcz Mxed Quemasstegals jua u chool of Mathematcs ad Computatoal cece Hua Uvesty of cece

More information

Simple Linear Regression Analysis

Simple Linear Regression Analysis LINEAR REGREION ANALYSIS MODULE II Lecture - 5 Smple Lear Regreo Aaly Dr Shalabh Departmet of Mathematc Stattc Ida Ittute of Techology Kapur Jot cofdece rego for A jot cofdece rego for ca alo be foud Such

More information

Lecture 9 Multiple Class Models

Lecture 9 Multiple Class Models Lectue 9 Multple Class Models Multclass MVA Appoxmate MVA 8.4.2002 Copyght Teemu Keola 2002 1 Aval Theoem fo Multple Classes Wth jobs the system, a job class avg to ay seve sees the seve as equlbum wth

More information

Linear Approximating to Integer Addition

Linear Approximating to Integer Addition Lear Approxmatg to Iteger Addto L A-Pg Bejg 00085, P.R. Cha apl000@a.com Abtract The teger addto ofte appled cpher a a cryptographc mea. I th paper we wll preet ome reult about the lear approxmatg for

More information

ANOTHER INTEGER NUMBER ALGORITHM TO SOLVE LINEAR EQUATIONS (USING CONGRUENCY)

ANOTHER INTEGER NUMBER ALGORITHM TO SOLVE LINEAR EQUATIONS (USING CONGRUENCY) ANOTHER INTEGER NUMBER ALGORITHM TO SOLVE LINEAR EQUATIONS (USING CONGRUENCY) Floet Smdche, Ph D Aocte Pofeo Ch of Deptmet of Mth & Scece Uvety of New Mexco 2 College Rod Gllup, NM 873, USA E-ml: md@um.edu

More information

THREE-PARAMETRIC LOGNORMAL DISTRIBUTION AND ESTIMATING ITS PARAMETERS USING THE METHOD OF L-MOMENTS

THREE-PARAMETRIC LOGNORMAL DISTRIBUTION AND ESTIMATING ITS PARAMETERS USING THE METHOD OF L-MOMENTS RELIK ; Paha 5. a 6.. THREE-PARAMETRIC LOGNORMAL DISTRIBUTION AND ESTIMATING ITS PARAMETERS USING THE METHOD OF L-MOMENTS Daa Bílová Abstact Commo statstcal methodology fo descpto of the statstcal samples

More information

Recent Advances in Computers, Communications, Applied Social Science and Mathematics

Recent Advances in Computers, Communications, Applied Social Science and Mathematics Recet Advaces Computes, Commucatos, Appled ocal cece ad athematcs Coutg Roots of Radom Polyomal Equatos mall Itevals EFRAI HERIG epatmet of Compute cece ad athematcs Ael Uvesty Cete of amaa cece Pa,Ael,4487

More information

Atomic units The atomic units have been chosen such that the fundamental electron properties are all equal to one atomic unit.

Atomic units The atomic units have been chosen such that the fundamental electron properties are all equal to one atomic unit. tomc uts The atomc uts have bee chose such that the fudametal electo popetes ae all equal to oe atomc ut. m e, e, h/, a o, ad the potetal eegy the hydoge atom e /a o. D3.33564 0-30 Cm The use of atomc

More information

Minimizing spherical aberrations Exploiting the existence of conjugate points in spherical lenses

Minimizing spherical aberrations Exploiting the existence of conjugate points in spherical lenses Mmzg sphecal abeatos Explotg the exstece of cojugate pots sphecal leses Let s ecall that whe usg asphecal leses, abeato fee magg occus oly fo a couple of, so called, cojugate pots ( ad the fgue below)

More information

χ be any function of X and Y then

χ be any function of X and Y then We have show that whe we ae gve Y g(), the [ ] [ g() ] g() f () Y o all g ()() f d fo dscete case Ths ca be eteded to clude fuctos of ay ube of ado vaables. Fo eaple, suppose ad Y ae.v. wth jot desty fucto,

More information

International Journal of Pure and Applied Sciences and Technology

International Journal of Pure and Applied Sciences and Technology It J Pure Appl Sc Techol, () (00), pp 79-86 Iteratoal Joural of Pure ad Appled Scece ad Techology ISSN 9-607 Avalable ole at wwwjopaaat Reearch Paper Some Stroger Chaotc Feature of the Geeralzed Shft Map

More information

Chapter Linear Regression

Chapter Linear Regression Chpte 6.3 Le Regesso Afte edg ths chpte, ou should be ble to. defe egesso,. use sevel mmzg of esdul cte to choose the ght cteo, 3. deve the costts of le egesso model bsed o lest sques method cteo,. use

More information

Then the number of elements of S of weight n is exactly the number of compositions of n into k parts.

Then the number of elements of S of weight n is exactly the number of compositions of n into k parts. Geneating Function In a geneal combinatoial poblem, we have a univee S of object, and we want to count the numbe of object with a cetain popety. Fo example, if S i the et of all gaph, we might want to

More information

Solution of Stochastic Ordinary Differential Equations Using Explicit Stochastic Rational Runge-Kutta Schemes

Solution of Stochastic Ordinary Differential Equations Using Explicit Stochastic Rational Runge-Kutta Schemes Ameca Joual of Computatoal ad Appled Matematc 5, 5(4): 5- DOI:.593/j.ajcam.554. Soluto of Stocatc Oda Dffeetal Equato Ug Explct Stocatc Ratoal Ruge-Kutta Sceme M. R. Odekule, M. O. Egwuube, K. A. Joua,*

More information

φ (x,y,z) in the direction of a is given by

φ (x,y,z) in the direction of a is given by UNIT-II VECTOR CALCULUS Dectoal devatve The devatve o a pot ucto (scala o vecto) a patcula decto s called ts dectoal devatve alo the decto. The dectoal devatve o a scala pot ucto a ve decto s the ate o

More information

PARAMETRIC STUDY ON PARETO, NASH MIN- MAX DIFFERENTIAL GAME

PARAMETRIC STUDY ON PARETO, NASH MIN- MAX DIFFERENTIAL GAME Euopea Scetc Joual Jauay 5 edto vol., No.3 ISSN: 857 788 (t) e - ISSN 857-743 ARAETRIC STUDY ON ARETO, NASH IN- AX DIFFERENTIAL GAE.S.Oma, o. th o Ramada Uvety, Egypt N.A. El-Kholy, D. Tata Uvety, Faculty

More information

Council for Innovative Research

Council for Innovative Research Geometc-athmetc Idex ad Zageb Idces of Ceta Specal Molecula Gaphs efe X, e Gao School of Tousm ad Geogaphc Sceces, Yua Nomal Uesty Kumg 650500, Cha School of Ifomato Scece ad Techology, Yua Nomal Uesty

More information

This may involve sweep, revolution, deformation, expansion and forming joints with other curves.

This may involve sweep, revolution, deformation, expansion and forming joints with other curves. 5--8 Shapes ae ceated by cves that a sface sch as ooftop of a ca o fselage of a acaft ca be ceated by the moto of cves space a specfed mae. Ths may volve sweep, evolto, defomato, expaso ad fomg jots wth

More information

Motion and Flow II. Structure from Motion. Passive Navigation and Structure from Motion. rot

Motion and Flow II. Structure from Motion. Passive Navigation and Structure from Motion. rot Moto ad Flow II Sce fom Moto Passve Navgato ad Sce fom Moto = + t, w F = zˆ t ( zˆ ( ([ ] =? hesystemmoveswth a gd moto wth aslat oal velocty t = ( U, V, W ad atoalvelocty w = ( α, β, γ. Scee pots R =

More information

1. Linear second-order circuits

1. Linear second-order circuits ear eco-orer crcut Sere R crcut Dyamc crcut cotag two capactor or two uctor or oe uctor a oe capactor are calle the eco orer crcut At frt we coer a pecal cla of the eco-orer crcut, amely a ere coecto of

More information

ˆ SSE SSE q SST R SST R q R R q R R q

ˆ SSE SSE q SST R SST R q R R q R R q Bll Evas Spg 06 Sggested Aswes, Poblem Set 5 ECON 3033. a) The R meases the facto of the vaato Y eplaed by the model. I ths case, R =SSM/SST. Yo ae gve that SSM = 3.059 bt ot SST. Howeve, ote that SST=SSM+SSE

More information

Module Title: Business Mathematics and Statistics 2

Module Title: Business Mathematics and Statistics 2 CORK INSTITUTE OF TECHNOLOGY INSTITIÚID TEICNEOLAÍOCHTA CHORCAÍ Semeste Eamatos 009/00 Module Ttle: Busess Mathematcs ad Statstcs Module Code: STAT 6003 School: School of Busess ogamme Ttle: Bachelo of

More information

The calculation of the characteristic and non-characteristic harmonic current of the rectifying system

The calculation of the characteristic and non-characteristic harmonic current of the rectifying system The calculato of the chaactestc a o-chaactestc hamoc cuet of the ectfyg system Zhag Ruhua, u Shagag, a Luguag, u Zhegguo The sttute of Electcal Egeeg, Chese Acaemy of Sceces, ejg, 00080, Cha. Zhag Ruhua,

More information

ON THE CONVERGENCE THEOREMS OF THE McSHANE INTEGRAL FOR RIESZ-SPACES-VALUED FUNCTIONS DEFINED ON REAL LINE

ON THE CONVERGENCE THEOREMS OF THE McSHANE INTEGRAL FOR RIESZ-SPACES-VALUED FUNCTIONS DEFINED ON REAL LINE O The Covegece Theoems... (Muslm Aso) ON THE CONVERGENCE THEOREMS OF THE McSHANE INTEGRAL FOR RIESZ-SPACES-VALUED FUNCTIONS DEFINED ON REAL LINE Muslm Aso, Yosephus D. Sumato, Nov Rustaa Dew 3 ) Mathematcs

More information

APPROXIMATE ANALYTIC WAVE FUNCTION METHOD IN ELECTRON ATOM SCATTERING CALCULATIONS. Budi Santoso

APPROXIMATE ANALYTIC WAVE FUNCTION METHOD IN ELECTRON ATOM SCATTERING CALCULATIONS. Budi Santoso APPROXIMATE ANALYTIC WAVE FUNCTION METHOD IN ELECTRON ATOM SCATTERING CALCULATIONS Bud Satoso ABSTRACT APPROXIMATE ANALYTIC WAVE FUNCTION METHOD IN ELECTRON ATOM SCATTERING CALCULATIONS. Appoxmate aalytc

More information

2012 GCE A Level H2 Maths Solution Paper Let x,

2012 GCE A Level H2 Maths Solution Paper Let x, GCE A Level H Maths Solutio Pape. Let, y ad z be the cost of a ticet fo ude yeas, betwee ad 5 yeas, ad ove 5 yeas categoies espectively. 9 + y + 4z =. 7 + 5y + z = 8. + 4y + 5z = 58.5 Fo ude, ticet costs

More information

Econometric Methods. Review of Estimation

Econometric Methods. Review of Estimation Ecoometrc Methods Revew of Estmato Estmatg the populato mea Radom samplg Pot ad terval estmators Lear estmators Ubased estmators Lear Ubased Estmators (LUEs) Effcecy (mmum varace) ad Best Lear Ubased Estmators

More information

REVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION

REVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION REVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION I lear regreo, we coder the frequecy dtrbuto of oe varable (Y) at each of everal level of a ecod varable (X). Y kow a the depedet varable. The

More information

Best Linear Unbiased Estimators of the Three Parameter Gamma Distribution using doubly Type-II censoring

Best Linear Unbiased Estimators of the Three Parameter Gamma Distribution using doubly Type-II censoring Best Lea Ubased Estmatos of the hee Paamete Gamma Dstbuto usg doubly ype-ii cesog Amal S. Hassa Salwa Abd El-Aty Abstact Recetly ode statstcs ad the momets have assumed cosdeable teest may applcatos volvg

More information

Rotational Kinetic Energy

Rotational Kinetic Energy Add Impotant Rotational Kinetic Enegy Page: 353 NGSS Standad: N/A Rotational Kinetic Enegy MA Cuiculum Famewok (006):.1,.,.3 AP Phyic 1 Leaning Objective: N/A, but olling poblem have appeaed on peviou

More information

V V The circumflex (^) tells us this is a unit vector

V V The circumflex (^) tells us this is a unit vector Vecto Vecto have Diection and Magnitude Mike ailey mjb@c.oegontate.edu Magnitude: V V V V x y z vecto.pptx Vecto Can lo e Defined a the oitional Diffeence etween Two oint 3 Unit Vecto have a Magnitude

More information

Some Integrals Pertaining Biorthogonal Polynomials and Certain Product of Special Functions

Some Integrals Pertaining Biorthogonal Polynomials and Certain Product of Special Functions Global Joual o Scece Fote Reeach atheatc ad Deco Scece Volue Iue Veo Te : Double Bld ee Reewed Iteatoal Reeach Joual ublhe: Global Joual Ic SA Ole ISSN: 49-466 & t ISSN: 975-5896 Soe Itegal etag Bothogoal

More information

Positive Semi-Definite Correlation Matrices: Recursive Algorithmic Generation. and Volume Measure

Positive Semi-Definite Correlation Matrices: Recursive Algorithmic Generation. and Volume Measure Pue Matheatcal Scece Vol. 0 o. 7-49 Potve Se-Defte Coelato Matce: Recuve Algothc Geeato ad Volue Meaue Wee Hüla FRSGlobal Stelad Seefeldtae 69 CH-8008 Züch Stelad ee.huela@fglobal.co hula@blue.ch Abtact

More information

Exam 1. Sept. 22, 8:00-9:30 PM EE 129. Material: Chapters 1-8 Labs 1-3

Exam 1. Sept. 22, 8:00-9:30 PM EE 129. Material: Chapters 1-8 Labs 1-3 Eam ept., 8:00-9:30 PM EE 9 Mateal: Chapte -8 Lab -3 tandadzaton and Calbaton: Ttaton: ue of tandadzed oluton to detemne the concentaton of an unknown. Rele on a eacton of known tochomet, a oluton wth

More information

Hyper-wiener index of gear fan and gear wheel related graph

Hyper-wiener index of gear fan and gear wheel related graph Iteatoal Joual of Chemcal Studes 015; (5): 5-58 P-ISSN 49 858 E-ISSN 1 490 IJCS 015; (5): 5-58 014 JEZS Receed: 1-0-015 Accepted: 15-0-015 We Gao School of Ifomato Scece ad Techology, Yua Nomal Uesty,

More information

DERIVATION OF THE BASIC LAWS OF GEOMETRIC OPTICS

DERIVATION OF THE BASIC LAWS OF GEOMETRIC OPTICS DERIVATION OF THE BASIC LAWS OF GEOMETRIC OPTICS It s well kow that a lght ay eflectg off of a suface has ts agle of eflecto equal to ts agle of cdece ad that f ths ay passes fom oe medum to aothe that

More information

Iterative Algorithm for a Split Equilibrium Problem and Fixed Problem for Finite Asymptotically Nonexpansive Mappings in Hilbert Space

Iterative Algorithm for a Split Equilibrium Problem and Fixed Problem for Finite Asymptotically Nonexpansive Mappings in Hilbert Space Flomat 31:5 (017), 143 1434 DOI 10.98/FIL170543W Publshed by Faculty of Sceces ad Mathematcs, Uvesty of Nš, Seba Avalable at: http://www.pmf..ac.s/flomat Iteatve Algothm fo a Splt Equlbum Poblem ad Fxed

More information

An Unconstrained Q - G Programming Problem and its Application

An Unconstrained Q - G Programming Problem and its Application Joual of Ifomato Egeeg ad Applcatos ISS 4-578 (pt) ISS 5-0506 (ole) Vol.5, o., 05 www.ste.og A Ucostaed Q - G Pogammg Poblem ad ts Applcato M. He Dosh D. Chag Tved.Assocate Pofesso, H L College of Commece,

More information

Ordinary Least Squares Regression. Simple Regression. Algebra and Assumptions.

Ordinary Least Squares Regression. Simple Regression. Algebra and Assumptions. Ordary Least Squares egresso. Smple egresso. Algebra ad Assumptos. I ths part of the course we are gog to study a techque for aalysg the lear relatoshp betwee two varables Y ad X. We have pars of observatos

More information

Suppose we have observed values t 1, t 2, t n of a random variable T.

Suppose we have observed values t 1, t 2, t n of a random variable T. Sppose we have obseved vales, 2, of a adom vaable T. The dsbo of T s ow o belog o a cea ype (e.g., expoeal, omal, ec.) b he veco θ ( θ, θ2, θp ) of ow paamees assocaed wh s ow (whee p s he mbe of ow paamees).

More information

Lecture 11: Introduction to nonlinear optics I.

Lecture 11: Introduction to nonlinear optics I. Lectue : Itoducto to olea optcs I. Pet Kužel Fomulato of the olea optcs: olea polazato Classfcato of the olea pheomea Popagato of wea optc sgals stog quas-statc felds (descpto usg eomalzed lea paametes)!

More information

A DATA DRIVEN PARAMETER ESTIMATION FOR THE THREE- PARAMETER WEIBULL POPULATION FROM CENSORED SAMPLES

A DATA DRIVEN PARAMETER ESTIMATION FOR THE THREE- PARAMETER WEIBULL POPULATION FROM CENSORED SAMPLES Mathematcal ad Computatoal Applcatos, Vol. 3, No., pp. 9-36 008. Assocato fo Scetfc Reseach A DATA DRIVEN PARAMETER ESTIMATION FOR THE THREE- PARAMETER WEIBULL POPULATION FROM CENSORED SAMPLES Ahmed M.

More information

Why Reduce Dimensionality? Feature Selection vs Extraction. Subset Selection

Why Reduce Dimensionality? Feature Selection vs Extraction. Subset Selection Dimenionality Reduction Why Reduce Dimenionality? Olive lide: Alpaydin Numbeed blue lide: Haykin, Neual Netwok: A Compehenive Foundation, Second edition, Pentice-Hall, Uppe Saddle Rive:NJ,. Black lide:

More information

ON THE STRUCTURE OF THE EULER MAPPING

ON THE STRUCTURE OF THE EULER MAPPING Electocal tacpto Mathematcal Ittute, Slea Uet Opaa, Cech Republc Mach Th tet a electoc tacpto o the ogal eeach pape D. upa, O the tuctue o the Eule mappg, Ach. Math., Scpta Fac. Sc. Nat. UJEP Bue, X: 55-6,

More information

ECON 482 / WH Hong The Simple Regression Model 1. Definition of the Simple Regression Model

ECON 482 / WH Hong The Simple Regression Model 1. Definition of the Simple Regression Model ECON 48 / WH Hog The Smple Regresso Model. Defto of the Smple Regresso Model Smple Regresso Model Expla varable y terms of varable x y = β + β x+ u y : depedet varable, explaed varable, respose varable,

More information

Some characterizations for Legendre curves in the 3-Dimensional Sasakian space

Some characterizations for Legendre curves in the 3-Dimensional Sasakian space IJST (05) 9A4: 5-54 Iaia Joual of Sciece & Techology http://ijthiazuaci Some chaacteizatio fo Legede cuve i the -Dimeioal Saakia pace H Kocayigit* ad M Ode Depatmet of Mathematic, Faculty of At ad Sciece,

More information

EDEXCEL NATIONAL CERTIFICATE UNIT 28 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME 2- ALGEBRAIC TECHNIQUES TUTORIAL 1 - PROGRESSIONS

EDEXCEL NATIONAL CERTIFICATE UNIT 28 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME 2- ALGEBRAIC TECHNIQUES TUTORIAL 1 - PROGRESSIONS EDEXCEL NATIONAL CERTIFICATE UNIT 8 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME - ALGEBRAIC TECHNIQUES TUTORIAL - PROGRESSIONS CONTENTS Be able to apply algebaic techiques Aithmetic pogessio (AP): fist

More information

VIII Dynamics of Systems of Particles

VIII Dynamics of Systems of Particles VIII Dyacs of Systes of Patcles Cete of ass: Cete of ass Lea oetu of a Syste Agula oetu of a syste Ketc & Potetal Eegy of a Syste oto of Two Iteactg Bodes: The Reduced ass Collsos: o Elastc Collsos R whee:

More information

Consider two masses m 1 at x = x 1 and m 2 at x 2.

Consider two masses m 1 at x = x 1 and m 2 at x 2. Chapte 09 Syste of Patcles Cete of ass: The cete of ass of a body o a syste of bodes s the pot that oes as f all of the ass ae cocetated thee ad all exteal foces ae appled thee. Note that HRW uses co but

More information

Inspection By Implicit Polynomials

Inspection By Implicit Polynomials Poceedg of ICIAP 999, Vece, Italy pp. 8-5 Ipecto By Iplct Polyoal * Ce ÜSALA ** Aytül ERÇĐL *Boğazç Uvet Dept. of Electcal & Electoc Egeeg uala@bou.edu.t **Boğazç Uvet Dept. of Idutal Egeeg ecl@bou.edu.t

More information

are positive, and the pair A, B is controllable. The uncertainty in is introduced to model control failures.

are positive, and the pair A, B is controllable. The uncertainty in is introduced to model control failures. Lectue 4 8. MRAC Desg fo Affe--Cotol MIMO Systes I ths secto, we cosde MRAC desg fo a class of ult-ut-ult-outut (MIMO) olea systes, whose lat dyacs ae lealy aaetezed, the ucetates satsfy the so-called

More information

By the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences

By the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences Chapte : Theoy of Modula Aithmetic 8 Sectio D Chiese Remaide Theoem By the ed of this sectio you will be able to pove the Chiese Remaide Theoem apply this theoem to solve simultaeous liea cogueces The

More information

Phys 332 Electricity & Magnetism Day 13. This Time Using Multi-Pole Expansion some more; especially for continuous charge distributions.

Phys 332 Electricity & Magnetism Day 13. This Time Using Multi-Pole Expansion some more; especially for continuous charge distributions. Phys 33 Electcty & Magetsm Day 3 Mo. /7 Wed. /9 Thus / F., / 3.4.3-.4.4 Multpole Expaso (C 7)..-..,.3. E to B; 5..-.. Loetz Foce Law: felds ad foces (C 7) 5..3 Loetz Foce Law: cuets HW4 Mateals Aoucemets

More information

Consumer theory. A. The preference ordering B. The feasible set C. The consumption decision. A. The preference ordering. Consumption bundle

Consumer theory. A. The preference ordering B. The feasible set C. The consumption decision. A. The preference ordering. Consumption bundle Thomas Soesso Mcoecoomcs Lecte Cosme theoy A. The efeece odeg B. The feasble set C. The cosmto decso A. The efeece odeg Cosmto bdle x ( 2 x, x,... x ) x Assmtos: Comleteess 2 Tastvty 3 Reflexvty 4 No-satato

More information

Learning Bayesian belief networks

Learning Bayesian belief networks Lectue 6 Leag Bayesa belef etwoks Mlos Hauskecht mlos@cs.ptt.edu 5329 Seott Squae Admstato Mdtem: Wedesday, Mach 7, 2004 I class Closed book Mateal coveed by Spg beak, cludg ths lectue Last yea mdtem o

More information

Exponential Generating Functions - J. T. Butler

Exponential Generating Functions - J. T. Butler Epoetal Geeatg Fuctos - J. T. Butle Epoetal Geeatg Fuctos Geeatg fuctos fo pemutatos. Defto: a +a +a 2 2 + a + s the oday geeatg fucto fo the sequece of teges (a, a, a 2, a, ). Ep. Ge. Fuc.- J. T. Butle

More information

CHAPTER 4 RADICAL EXPRESSIONS

CHAPTER 4 RADICAL EXPRESSIONS 6 CHAPTER RADICAL EXPRESSIONS. The th Root of a Real Number A real umber a s called the th root of a real umber b f Thus, for example: s a square root of sce. s also a square root of sce ( ). s a cube

More information

CHAPTER 5 : SERIES. 5.2 The Sum of a Series Sum of Power of n Positive Integers Sum of Series of Partial Fraction Difference Method

CHAPTER 5 : SERIES. 5.2 The Sum of a Series Sum of Power of n Positive Integers Sum of Series of Partial Fraction Difference Method CHAPTER 5 : SERIES 5.1 Seies 5. The Sum of a Seies 5..1 Sum of Powe of Positive Iteges 5.. Sum of Seies of Patial Factio 5..3 Diffeece Method 5.3 Test of covegece 5.3.1 Divegece Test 5.3. Itegal Test 5.3.3

More information

CIS 800/002 The Algorithmic Foundations of Data Privacy October 13, Lecture 9. Database Update Algorithms: Multiplicative Weights

CIS 800/002 The Algorithmic Foundations of Data Privacy October 13, Lecture 9. Database Update Algorithms: Multiplicative Weights CIS 800/002 The Algorthmc Foudatos of Data Prvacy October 13, 2011 Lecturer: Aaro Roth Lecture 9 Scrbe: Aaro Roth Database Update Algorthms: Multplcatve Weghts We ll recall aga) some deftos from last tme:

More information

2.1.1 The Art of Estimation Examples of Estimators Properties of Estimators Deriving Estimators Interval Estimators

2.1.1 The Art of Estimation Examples of Estimators Properties of Estimators Deriving Estimators Interval Estimators . ploatoy Statstcs. Itoducto to stmato.. The At of stmato.. amples of stmatos..3 Popetes of stmatos..4 Devg stmatos..5 Iteval stmatos . Itoducto to stmato Samplg - The samplg eecse ca be epeseted by a

More information

Theory study about quarter-wave-stack dielectric mirrors

Theory study about quarter-wave-stack dielectric mirrors Theor tud about quarter-wave-tack delectrc rror Stratfed edu tratted reflected reflected Stratfed edu tratted cdet cdet T T Frt, coder a wave roagato a tratfed edu. A we kow, a arbtrarl olared lae wave

More information