Ruin Probability in a Generalized Risk Process under Rates of Interest with Homogenous Markov Chain Claims and Homogenous Markov Chain Interests
|
|
- Suzan Wilson
- 5 years ago
- Views:
Transcription
1 Appld Mathmatc 3, 3(5: DOI:.593/.am u Pbablty a Gald Pc ud at f Itt wth Hmgu Mav Cha Clam ad Hmgu Mav Cha Itt Quag Phug Duy Dpatmt f Mathmatc, Fg Tad Uvty, Ha, Vt Nam Abtact Th am f th pap t gv cuv ad tgal quat f u pbablt f gald pc ud aumpt that bth quc f clam ad at f tt a hmgu Mav cha. Gald Ludbg qualt f u pbablt f th pc a dvd by ug cuv tchqu. Ftly, w gv a cuv quat f ft tm pbablty ad ultmat u pbablty. By ug th quat, w ca dv pbablty qualt f ft tm pbablty ad ultmat u pbablty. Th abv ult gv upp bud f ft tm pbablty ad ultmat u pbablty. A umcal xampl gv t llutat ult. Kywd Itgal quat, cuv quat, u pbablty, Hmgu Mav cha. Itduct F v a ctuy, th ha b a ma tt actuaal cc. Sc a lag pt f th uplu f uac bu fm vtmt cm, actua hav b tudyg u pblm ud mdl wth at f tt. F xampl, Tugl ad Sudt[],[] tudd th ffct f ctat at th u pbablty ud th cmpud P mdl. ag[3] tablhd bth xptal ad xptal upp bud f u pbablt a mdl wth ctat tt fc ad dpdt pmum ad clam. Ca[3],[4] vtgatd th u pbablt tw mdl, wth dpdt pmum ad clam ad ud a ft d autgv pc t mdl th at f tt. Ca ad Dc[5] btad Ludbg qualt f u pbablt tw dct- tm pc wth a Mav cha tt mdl ad dpdt pmum ad clam. I th pap, w tudy th mdl cdd by Ca ad Dc[5] t th ca hmgu Mav cha clam ad hmgu Mav cha at f tt ad dpdt pmum. Th ma dffc btw th mdl u pap ad th Ca ad Dc[5] that clam ad at f tt u mdl a aumd t fllw hmgu Mav cha. b X X W lt { } b pmum, { } Cpdg auth: quagmathftu@yah.cm (Quag Phug Duy Publhd l at Cpyght 3 Sctfc & Acadmc Publhg. All ght vd clam, I { I } b tt ad thy df pbablty pac ( Ω, AP,. T tablh pbablty qualt f u pbablt f th mdl, w tudy tw tyl f pmum cllct. O th had f th pmum a cllctd at th bgg f ach pd th th uplu pc { U } wth tal uplu u ca b wtt a U ( U I X (. whch ca b aagd a p p (,(. U u. ( I X ( I O th th had, f th pmum a cllctd at th d f ach pd, th th uplu pc { U } tal uplu u ca b wtt a whch quvalt t wth U ( U X ( I, (.3 p p,(.4 U u. ( I X ( I ( I thughut th pap, w dt xt ad t a b xt f a > b. t a W aum that: b
2 86 Quag Phug Duy: u Pbablty a Gald Pc ud at f Itt wth Hmgu Mav Cha Clam ad Hmgu Mav Cha Itt Aumpt.. U U u > Aumpt.. X { X } a quc f dpdt ad dtcally dtbutd gatv ctuu adm vaabl wth th am dtbutv fuct F( x P( Ω: X( x. Aumpt.3. { } Mav cha, a hmgu ta valu a ft t f - gatv umb E { y, y,..., y } M wth y ad p P Ω : ( y ( y,( m N; y, y E m m M p, p. Aumpt.4. I { I } hmgu Mav cha, I ta valu a ft t f - gatv EI,,..., N wth I ad umb { } q P Ω : I ( X (,( m N;, E m m I q, q. N Aumpt.5. X, ad I a aumd t b dpdt. W df th ft tm ad ultmat u pbablt f mdl (. wth aumpt. t aumpt.5, pctvly, by ( ( u, y, P : U ( U ( u, ( y, I( Ω < (.5 ( ( uy,, lm ( uy,, P : U ( U ( u, ( y, I( Ω < (.6 Smlaly, w df th ft tm ad ultmat u pbablt f mdl (.3 wth aumpt. t aumpt.5, pctvly, by ( uy,, P : ( U ( U ( ux, ( y, I( Ω < (.7 ( uy,, lm ( uy,, P : ( U ( U ( u, ( y, I( Ω < (.8 I th pap, w dv pbablty qualt f ( uy,, ad ( uy,,. Th pap gad a fllw; Sct, w gv cuv ad tgal quat f ( uy,, ad ( uy,,. I Sct 3 w dv pbablty qualt f ( uy,, ad ( uy,, by a ductv appach. A umcal xampl gv t llutat th ult Sct 4. Fally, w cclud u pap Sct 5.. Itgal Equat f u Pbablt W ft gv cuv quat f ( uy,, ad a tgal quat f ( uy,,. Thm.. If mdl (. atf th aumpt. t.5 th f,, ad (,, ( (,, ( ( (. y u( u y u x y y df x F y u pq (,, ( (,, ( ( u y pq u x y y df x Fy u (. y u(
3 Appld Mathmatc 3, 3(5: Pf. Gv ( y E, I( E ( Ω. I Lt { A Ω : U ( u, ( y, ( y, I(, I( } A { Ω : X( < y u( }, A { Ω: X( y u( }. Fm (., w hav I addt, Lt { X },{ },{ I } U ( u( X ( y ad ( P Ω : U ( < A A P : ( U ( A A Ω < (.3 ( X ( X (, ( ( y, I ( I (. Thu, (.4 ad (. mply that P : ( U ( A A Ω < O th th had, (.5 mpl Thu, w hav Fm (.3, w hav P Ω : U ( < A A. (.4 b dpdt cp f { X }, { }, { } P : ( U ( A A Ω < I pctvly wth P Ω : u( X( y ( Im( ( Xm( m( ( Ip( m m p m ( U ( u( X( y, ( y, I( A P Ω : U ( ( Im( ( Xm( m( ( Ip( < m m p m U ( u( X ( y, ( y, I ( A (.5 ( ( u, y, P Ω : ( U ( < U ( u, ( y, I( ( uy,, pq P Ω : ( U ( < A pq P U A A PA Ω : ( ( <. ( P Ω : ( U ( < A A. PA ( (.6
4 88 Quag Phug Duy: u Pbablty a Gald Pc ud at f Itt wth Hmgu Mav Cha Clam ad Hmgu Mav Cha Itt y u( (. P Ω : U ( < A A. P( A df( x Fm (.5, w hav P Ω : ( U ( < A A. P( A ( u( x y, y, df( x y u( Thf, (.6 wtt a y u( ( u, y, p q df( x ( u( x y, y, df( x y u( pq ( u( x y, y, df( x F y u( y u( (.7 Thu, th tgaal quat f ( uy,, Thm. fllw mmdatly fm th dmatd cvgc thm by lttg (.7. Th cmplt th pf Smlaly, th fllwg cuv quat f ( uy,, ad tgal quat f ( uy,, a hld. Thm.. If mdl (.3 atf aumpt. t.5 th, f,, y ( u ( u, y, pq ( u x( y, y, df( x F (.8 y ( u ad y u( ( u, y, p q ( u x( y, y, df( x F y ( u (.9 Nxt, w tablh pbablty qualt f u pbablt f mdl (. ad mdl ( Pbablty Iqualt f u Pbablt T tablh pbablty qualt f u pbablt f mdl (., w ft pf th fllwg Lmma. Lmma 3.. Lt mdl (. atfy aumpt. t.5 ad E( X If, ay y E, ( E Ω : ( y < EX ( ad th th xt a uqu ptv ctat Pf. Df ( < (,. P Ω:( X ( > ( y > (3. atfyg: ( ( X E Ω : ( y (3.
5 Appld Mathmatc 3, 3(5: t { ( X } f ( t E Ω : ( y ; t (, W hav t tx { } ( f( t E Ω : ( y. E g(. t ht ( Fm dct adm vaabl ad t ta valu E { y, y,..., y } t { } g ( t E : ( y M p ty Ω ha -th dvatv fuct ( tx I addt, ( tx h( t E f ( x dx wth f( x F' ( x tx h( t f ( x dx f ( x dx atfyg : th, (ay N N \{ } M. tx ad x f ( x dx x f ( x dx E ( X < (,. Th mpl that ht ( ha -th dvatv fuct (, wth, fuct (, wth, ad t ( X { } t ( X { } f ' ( t E ( X Ω : ( y f '' ( t E ( X Ω : ( y. Th mpl that ad ( { } By P( :( X( ( y P( Ω:( X( > δ > ( y >. Thu, f ( t ha -th dvatv f t a cvx fuct wth f ( (3.3 ' f ( E ( X Ω : ( y E ( Ω : ( y E ( X < (3.4 Ω > >, w ca fd m ctat δ > uch that Th, w ca gt that t { } ( X f ( t E Ω : ( y Imply t ( X { } { Ω:( X( > δ ( y } E Ω : ( y. { δ } t δ. P Ω:( X ( > ( y. lm f( t. (3.5 t Fm (3.3, (3.4 ad (3.5 th xt a uqu ptv ctat Th cmplt th pf. atfyg (3.. ( X Lt: m : E : ( y > Ω ( y E Ug Lmma 3. ad Thm., w bta a pbablty qualty f ( uy,, by a ductv appach. Thm 3.. If mdl (. atf aumpt. t.5, E( X f ay u >, y E ad EI < (, ad (3. th
6 9 Quag Phug Duy: u Pbablty a Gald Pc ud at f Itt wth Hmgu Mav Cha Clam ad Hmgu Mav Cha Itt > u ( I ( uy,,. E Ω : I(, (3.6 x df ( x f,. F( Pf. Ftly, w hav ( x df x df x ( ( f f. > F( > F( F ay >, w hav F( x. df( x x. x df( x F(. x. (. df x. E X Th, f ay u >, y E ad EI, w ca wt ( df( x. (3.8 u y P Ω U > U u y I pq Fy u (3.9 (,, ( : ( (, (, ( ( Thu, cmbg (3.8 ad (3.9, w hav M N ( uy,, pq F( y u( M N pq y u( X E ( X u ( I E : ( y. E : I( Ω Ω u ( I E Ω : I(. (3. Applyg a ductv hypth, w aum f ay u >, y E ad EI, ( (,, u I uy E : I( Ω. (3. Th (3. mpl that (3. hld wth. F y E, E, u( x y > ad I ( ( Ω, w hav I ( u( x y, y, E Ω I ( ( ( : ( u x y I u x y
7 Appld Mathmatc 3, 3(5: f > ad F ay > : x df( x >. F( x ( x df( x df( x th F( F( f f > >, Ω : ( ( X E y x x ( x x df( x df( x F( F( df( x df( x. That F( F( u ( x y u ( x y > th ( (,, Thf, by Lmma 3., (., (3.7 ad (3., w gt u( xy u x y y. (3. ( u, y, p q F( y u( ( u( x y, y, df( x y u( Thu ( y u y u( u( x y x pq df( x df( x y u( y u( x p q df( x ( X u( I E Ω : ( y. E Ω : I( u( I Ω : ( E I ( (,, u I uy E Ω : I( Cqutly, f ay,,... (3. hld. Thf, (3.6 fllw by lttg (3.. Th cmplt th pf ma 3.. Lt w hav u ( I Au (, y,. E : I( Ω. Fm I ( ( Ω ad Au (, y,. E : I ( u u u Ω,
8 9 Quag Phug Duy: u Pbablty a Gald Pc ud at f Itt wth Hmgu Mav Cha Clam ad Hmgu Mav Cha Itt Thf, upp bud f u pbablty (3.6 btt tha Smla t Lmma 3., w hav Lmma 3.. u. Lmma 3.. Aum that mdl (.3 atf aumpt. t.5 ad E( X ad EI, y ad E( X ( I Ω : ( y, I ( < ( < (,. If ay y E P X( I > Ω : ( y, I( >, (3.3 th th xt a uqu ptv ctat > atfyg: Lt X ( ( I E Ω : ( y, I ( X( I { ( } m > : E Ω : ( y, I ( ( y E, E I Nxt, w u Lmma 3. ad Thm. t gv a pbablty qualty f ( uy,, by a ductv appach. Thm 3.. If mdl (.3 atf aumpt. t.5, E( X E ad EI Pf. < (, ad (3.3 th, f ay ( u X( I ( uy,, E : ( y Ω E Ω : I( Smlaly wth Thm 3., w hav Th, f ay u >, y E ad EI x df ( x f >,. F( ad ay > y u( ( uy,, pq F( y u( x (3.4 F(.. df( x (3.5. X E. (3.6 y u( x p q df( x
9 Appld Mathmatc 3, 3(5: Hc y u( pq y u( x( y u( y ( u x( pq y ( u x( pq df( x df( x df( x ( u X( I E Ω : ( y. E Ω : I( ( u X( I ( uy,, E Ω : ( y. E Ω : I( Ud a ductv hypth, w aum that ( u X( I (3.7 ( uy,, E Ω : ( y. E Ω : I(. (3.8 Th, (3.7 mpl that (3.8 hld wth. y u( F y E, EI, x > ad I (,( Ω, w hav (( u x( y, y, ( u x( y X ( I E : ( y. E Ω Ω : I( ( u x( ( y I X( I E : ( y. E Ω Ω : I( Ω Ω ( ( X( I u x y E : ( y. E : I(. ( (. u x y ( y E, E, ( u x( y >, f > ad >. x df ( x F(, I Ω : (, ( ( X( I E y I
10 94 Quag Phug Duy: u Pbablty a Gald Pc ud at f Itt wth Hmgu Mav Cha Clam ad Hmgu Mav Cha Itt F ay > : th > ( x ( x x x x df( x f F( W gt df( x df( x df( x df( x F( F( F( F( f > df( x x F( ( u x ( y ( u x ( y > th ( Thf, by Lmma 3., (.8, (3.5 ad (3.9, w gt ( u x( y ( u x( y, y,. (3.9 y u( ( u, y, p q F (( u x( y, y, df( x y u( Thu y u( y u( x ( u x( y pq df( x df( x y u( y u( ( ( y u x ( u x( y pq ( ( df x df x y u( y u( ( u x( y ( u x( y pq df( x df( x y u( y ( u x( p q df( x ( u X( I E : ( y Ω. E Ω : I(. ( ( (,, : (. u X I u y E Ω y E Ω : I( Cqutly, f ay,, (3.8 hld. Thf, (3.4 fllw by lttg (3.8.
11 Appld Mathmatc 3, 3(5: ma 3.. Lt ( u X( I B( u, y, E : ( y. E : I( Ω Ω I (, X (,( Ω ad Fm, w hav u( I X( I Ω Ω B( u, y, E : ( y. E : I ( u X ( I E Ω: ( y. E Ω : I ( E Ω : y E Ω :. X ( I u ( ( I u u. Hc, upp bud f u pbablty (3.4 btt tha u. 4. A Numcal Illutat I th ct w gv a umcal xampl t llutat th bud f ( uy,, dvd Sct 3. X X b a quc f dpdt ad dtcally dtbutd -gatv ctuu adm vaabl Lt { } wth th am dtbutv fuct Lt { },5x ( ( F x x. b a hmgu Mav cha uch that f ay, havg a dtbut: ad matx P p x,3,7 P,,8 Lt { } gv by 3 P,4,6 I I b a hmgu Mav cha uch that f ay, havg a dtbut: ad matx Q [ q ] x gv by, 5,75 Q,6, 4 Th, w hav ( E.,3 3., 7, 4 E ( 3., 3.,8, 6; EX ( 4,5 I,,5 P,35,65 ta valu {,3} E wth I ta valu {,;,5} E I wth I
12 96 Quag Phug Duy: u Pbablty a Gald Pc ud at f Itt wth Hmgu Mav Cha Clam ad Hmgu Mav Cha Itt Thf I th th had, ad E ( y < E( X, y E (4. ( > >, P ( X P X ( Cmbg (4., (4. ad (4.3 mply that Lmma 3. hld. Nxt, w lv quat (3.. Ftly, w hav ( X X E y E y E (,. X (,5,5,5 x dx (, E,5 ad > 3 > (4. E X < (, (4.3 E. P. P 3,3,7 3 3 E P P ,,8 pctv quat (3. f,, by 3,3,7 4 (4.4,,8 4 Ug Mapl, w fd pctv t f (3. f,, by,33878;, 84 Hc, { } m,, 84. W ca apply th ult f Thm 3. f ( uy,, u( I 3 (4.5 (4.6 ( uy,, E I gu (, ( EI u ( I gu ( ;, E I,,u,5 u. PI, I,. PI,5 I,,u,5 u, 5,75 u ( I gu ( ;,5 E I,5,u,5 u. PI, I,5. PI,5 I,5,6, 4,u,5 u
13 Appld Mathmatc 3, 3(5: Tabl hw valu upp bud gu (, ( ux,, f a ag f valu f u Tabl. Upp bud gu (, f ( uy,, f EFEENCES [] Albch, H. (998 Dpdt ad u pbablt uac. IIASA Itm pt, I u gu ( ;, gu ( ;, Cclu Ou ma ult th pap a Thm. ad Thm. gvg cuv quat f ( uy,, ad ( uy,, ad tgal quat f ( uy,, ad ( uy,, ; Thm 3. ad Thm 3. gvg pbablty qualt f ( uy,, ad ( uy,, by a ductv appach. I addt, a umcal xampl gv llutatg Thm 3.. ACKNOWLEDGMENTS Th auth thaful t th f f pvdg valuabl uggt t mpv th qualty f th pap. I addt, th auth wuld l t xp h c gattud t Pf Bu Kh Dam f may ctfc uggt dug th ppaat f th pap. [] Amu, S. ( u pbablt, Wld Sctfc, Sgap. [3] Ca, J. ( Dct tm mdl ud at f tt. Pbablty th Egg ad Ifmatal Scc, 6, [4] Ca, J. ( u pbablt wwth dpdt at f tt, Jual f Appld Pbablty, 39, [5] Ca, J. ad Dc, D. CM (4 u Pbablt wth a Mav cha tt mdl. Iuac: Mathmatc ad Ecmc, 35, [6] Nyh, H. (998 ugh dcpt f u f a gal cla f uplu pc. Adv. Appl. Pb., 3, 8-6. [7] Pmlw, S. D. (99 Th pbablty f u a pc wth dpdt cmt. Iuac: Mathmatc ad Ecmc,, [8] l, T., Schmdl, H., Schmdt, V. ad Tugl, J. L.(999 Stchatc Pc f Iuaac ad Fac. Jh Wly, Chcht. [9] Shad, M. ad Shathuma, J. (994, Stchatc Od ad th Applcat. Acadmc P, Sa Dg. [] Sudt, B. ad Tugl, J. L (995 u tmat ud tt fc, Iuac: Mathmatc ad Ecmc, 6, 7-. [] Sudt, B. ad Tugl, J. L. (997 Th adutmt fuct u tmat ud tt fc. Iuac: Mathmatc ad Ecmc, 9, [] Xu, L. ad Wag,. (6 Upp bud f u pbablt a autgv mdl wth Mav cha tt at, Jual f Idutal ad Maagmt ptmat, Vl. N., [3] ag, H. (999 N xptal bud f u pbablty wth tt ffct cludd, Scadava Actuaal Jual,, [4] Wllmt, G. E, Ca, J. ad L, X.S. ( Ludbg Appxmat f Cmpud Dtbut wth Iuac Applcat. Spg Vlag, Nw.
Ruin Probability in a Generalized Risk Process under Rates of Interest with Homogenous Markov Chain Claims
ahmaca Ara, Vl 4, 4, 6, 6-63 Ru Prbably a Gralzd Rs Prcss udr Ras f Irs wh Hmgus arv Cha Clams Phug Duy Quag Dparm f ahmcs Frg Trad Uvrsy, 9- Chua Lag, Ha, V Nam Nguy Va Vu Tra Quc Tua Uvrsy Nguy Hg Nha
More informationLecture 7 Diffusion. Our fluid equations that we developed before are: v t v mn t
Cla ot fo EE6318/Phy 6383 Spg 001 Th doumt fo tutoal u oly ad may ot b opd o dtbutd outd of EE6318/Phy 6383 tu 7 Dffuo Ou flud quato that w dvlopd bfo a: f ( )+ v v m + v v M m v f P+ q E+ v B 13 1 4 34
More informationHandout 30. Optical Processes in Solids and the Dielectric Constant
Haut Otal Sl a th Dlt Ctat I th ltu yu wll la: La ut Ka-Kg lat Dlt tat l Itba a Itaba tbut t th lt tat l C 47 Sg 9 Faha Raa Cll Uty Chag Dl, Dl Mt, a lazat Dty A hag l t a gat a a t hag aat by ta: Q Q
More informationSuper Efficiency with 2- Stage DEA Model
Sup Effccy wth 2- Stag DEA Md Sha Ea Put Dpatt f Mathatc, Uvty f Suata Utaa Mda, Ida Abtact DEA d tat a t f vauatd DMU ad u t tat th ffccy c by vauatg ach DMU a data t. Th ach dtd th w ch f 2-tag DEA d
More informationSimulation of Natural Convection in a Complicated Enclosure with Two Wavy Vertical Walls
A Mtt S, V. 6, 2012,. 57, 2833-2842 Sut Ntu Cvt Ct Eu wt Tw Wvy Vt W P S Dtt Mtt, Futy S K K Uvty, K K 40002, T Ct E Mtt CHE, S Ayutty R., B 10400, T y 129@t. Sut Wtyu 1 Dtt Mtt, Futy S K K Uvty, K K 40002,
More informationTrade Patterns, Production networks, and Trade and employment in the Asia-US region
Trade Patterns, Production networks, and Trade and employment in the Asia-U region atoshi Inomata Institute of Developing Economies ETRO Development of cross-national production linkages, 1985-2005 1985
More information/99 $10.00 (c) 1999 IEEE
P t Hw Itt C Syt S 999 P t Hw Itt C Syt S - 999 A Nw Atv C At At Cu M Syt Y ZHANG Ittut Py P S, Uvty Tuu, I 0-87, J Att I t, w tv t t u yt x wt y tty, t wt tv w (LBSB) t. T w t t x t tty t uy ; tt, t x
More informationPwC Middle East Spa Benchmarking Survey January - August 2012
www.pw.m/m Mdd E Sp Bhmkg Suvy Juy - Augu 2012 W pd p h u f PwhuCp () Sp Bhmk uvy f h p h Mdd E. Th h y bhmk p vg h Dd S, Dh, d Bu p g. Th Sp Bhmk Rp ud -uy b d h d v h pd fm Juy Augu 2012. Th Sp Bhmk
More informationnd A L T O SOLO LOWELL. MICHIGAN. THURSDAY. APRIL Spring Activities Heads Up and Forward (Editorial By " T h e Committee'')
- 6 7 8 9 3-6 7 8 9 3 G UDY 3 93 VU XXXV U XY F K FD D j V K D V FY G F D Y X K X DD Y j \ V F \ VD GD D U Y 78 K U D Y U Y 484?35 V 93 7 4 U x K 77 - D :3 F K > 6 D x F 5 - - x - G 7 43 8 D $35 K F $5
More informationEstimating the Variance in a Simulation Study of Balanced Two Stage Predictors of Realized Random Cluster Means Ed Stanek
Etatg th Varac a Sulato Study of Balacd Two Stag Prdctor of Ralzd Rado Clutr Ma Ed Stak Itroducto W dcrb a pla to tat th varac copot a ulato tudy N ( µ µ W df th varac of th clutr paratr a ug th N ulatd
More informationAvailable online Journal of Scientific and Engineering Research, 2016, 3(6): Research Article
Av www.. Ju St E R, 2016, 3(6):131-138 R At ISSN: 2394-2630 CODEN(USA): JSERBR Cutvt R Au Su H Lv I y t Mt Btt M Zu H Ut, Su, W Hy Dtt Ay Futy Autu, Uvt Tw, J. Tw N. 9 P, 25136,Wt Sut, I, E-: 65@y. Att
More informationHYDROMETRIC NETWORK REQUIREMENTS OKANAGAN BASIN FOR THE. Prepared for. Photo: Belgo Creek at Highway 33
YD QU F G f : g g 33 b g g G g 8 f g f g Dv, f v b g g G g 8 : b, f v b-b g g, ://.v.gv.b.// f g b f g. 1. 1 2. g.. 4 3. f F. 4. 11 5... 13 6... b b 1... 11 b 2. F.. x.. f f x.. b x... f g f g 1. b g f.
More information68X LOUIE B NUNN PKWYLOUIE B NUNN PKWY NC
B v Lk Wf gmt A Ix p 86 12'W 86 1'W 85 56'W 85 54'W 85 52'W 85 5'W 37 'N 68X Ggw LOI B NNN KWYLOI B NNN KWY N 36 58'N WAN p 1 36 56'N utt' v vt A S p 4 B v Lk Bg Stt Ntu v BAN 36 52'N 36 5'N p 2 Spg B
More informationReliability Equivalence of Independent Non-identical Parallel and Series Systems.
Lf Scc Jua 0;9(3) h://wwwfccc aby Euvac f Idd N-dca Paa ad S Sy Yuy Abdad 3 ; A I Shawy ad M I A-Ohay D f Mah acuy f Scc Uvy f Daa KSA D f Sac acuy f Scc Kg Abduazz Uvy PO Bx 8003 Jddah 589 Saud Aaba 3
More informationUnit 3: Transistor at Low Frequencies
Unt 3: Tansst at Lw Fquncs JT Tansst Mdlng mdl s an qualnt ccut that psnts th chaactstcs f th tansst. mdl uss ccut lmnts that appxmat th ha f th tansst. Th a tw mdls cmmnly usd n small sgnal analyss f
More informationSIMULTANEOUS METHODS FOR FINDING ALL ZEROS OF A POLYNOMIAL
Joual of athmatcal Sccs: Advacs ad Applcatos Volum, 05, ags 5-8 SIULTANEUS ETHDS FR FINDING ALL ZERS F A LYNIAL JUN-SE SNG ollg of dc Yos Uvsty Soul Rpublc of Koa -mal: usopsog@yos.ac. Abstact Th pupos
More informationHelp parents get their kids settled in with this fun, easy-to-supervise coloring activity. A Fun Family Portrait... 3
K u R C d C! m m m k m u y g H p u R Cd C g d g b u d yu g p m d fu g f pg m g w Tk yu C g p D Ng kd pg u bk! T y g b fm dy m d md g g p By pvdg ud d ug yu u f D Ng Cg v, yu b pg up g u d g v bf W v pvdd
More informationReport Card. America's Watershed. Moving the report card forward. Information for multiple uses. A vision for. High. Low. High.
Ifm f mu u Mvg h cd fwd cd w u d ky mg fm g mu f fm d ch. Th ky mg m f cmmucg y mgm d dc d cy mk. mg cd f h M v b w y h c f my gu, dvdu, d gc. Fwg h Smb 2012 Summ S. Lu, mc Whd Iv fmd wk gu whch m guy
More informationNew bounds on Poisson approximation to the distribution of a sum of negative binomial random variables
Sogklaaka J. Sc. Tchol. 4 () 4-48 Ma. -. 8 Ogal tcl Nw bouds o Posso aomato to th dstbuto of a sum of gatv bomal adom vaabls * Kat Taabola Datmt of Mathmatcs Faculty of Scc Buaha Uvsty Muag Chobu 3 Thalad
More informationParts Manual. EPIC II Critical Care Bed REF 2031
EPIC II Critical Care Bed REF 2031 Parts Manual For parts or technical assistance call: USA: 1-800-327-0770 2013/05 B.0 2031-109-006 REV B www.stryker.com Table of Contents English Product Labels... 4
More informationNo-Bend Orthogonal Drawings of Subdivisions of Planar Triconnected Cubic Graphs
N-B Oh Dw f Sv f P Tcc Cc Gh (Ex Ac) M. S Rh, N E, T Nhz G Sch f If Scc, Th Uvy, A-y 05, S 980-8579, J. {,}@hz.c.h.c. h@c.h.c. Ac. A h h wh fx. I - h w f h, ch vx w ch w hz vc. A h hv - h w f f h - h w.
More informationZsolt Arki. Development and Investment Department Antenna Hunária Co.
Sd 1 T u f d bdc Hu Z A Hd f Sm P Tm Dvpm d Ivm Dpm A Hu C DTAG m: T Luc f DTT C & E Eup 8 Ju 2005 Sp Sd 2 H f Hu DVT (1) 1999: c d xpm bdc A Hu 2001: f f w d m Tm c xpm, xm f b d mb cv pb Mumd d cv Tm
More informationReliability of time dependent stress-strength system for various distributions
IOS Joural of Mathmatcs (IOS-JM ISSN: 78-578. Volum 3, Issu 6 (Sp-Oct., PP -7 www.osrjourals.org lablty of tm dpdt strss-strgth systm for varous dstrbutos N.Swath, T.S.Uma Mahswar,, Dpartmt of Mathmatcs,
More informationGNSS-Based Orbit Determination for Highly Elliptical Orbit Satellites
-Bd D f Hghy p Q,*, ug, Ch Rz d Jy u Cg f u gg, g Uvy f u d u, Ch :6--987, -:.q@ud.uw.du. h f uvyg d p If y, Uvy f w uh W, u : h Hghy p H ufu f y/yhu f h dgd hv w ud pg h d hgh ud pg h f f h f. Du h g
More informationAnalysis of Effects of Rebounds and Aerodynamics for Trajectory of Table Tennis Ball
Al f Effc f Ru Ac f Tjc f Tl T Bll Juk Nu Mchcl Scc Egg, Gu Schl f Egg, Ng Uv, Fu-ch, Chku-ku, Ng, J Ak Nkh Mchcl Scc Egg, Gu Schl f Egg, Ng Uv, Fu-ch, Chku-ku, Ng, J Yhku Hkw Mchcl Scc Egg, Gu Schl f
More informationCrowds of eager worshippers trooping into the venue
LvWld Cv A lld y F uv Fdy m Juy ldg wk Fbuy, ud l gd LvWld Cv A Lg, Ng, l lg mg w P C ggd, Am F Ml Lv. Hly G-dzvu w Ld' y my. Adg P C, dd' ll mg. Ld lly lld m...h d l; w H wd. Cwd g w g vu AN APPNMEN WH
More informationFuzzy Reasoning and Optimization Based on a Generalized Bayesian Network
Fuy R O B G By Nw H-Y K D M Du M Hu Cu Uvy 48 Hu Cu R Hu 300 Tw. @w.u.u.w A By w v wy u w w uy. Hwv u uy u By w y u v w uu By w w w u vu vv y. T uy v By w w uy v v uy. B By w uy. T uy v uy. T w w w- uy.
More information6.012 Electronic Devices and Circuits Formula Sheet for Final Exam, Fall q = 1.6x10 19 Coul III IV V = x10 14 o. = 3.
6.0 Elctc Dvcs ad Ccuts ula Sht f al Exa, all 003 Paat Valus: Pdc Tabl: q.6x0 9 Cul III IV V 8.854 x0 4 /c,,s.7,,so 3.9 B C N 0 S /c, SO 3.5 x0 3 /c Al S P [S@R.T] 0 0 c 3 Ga G As /q 0.05 V ; ( /q) l0
More informationr R N S Hobbs P J Phelan B E A Edmeaes K D Boyce 2016 Membership ams A P Cowan D D J Robinson B J Hyam J S Foster A NAME MEMBERSHIP NUMBER
ug bb K S bb h B E E ch Smth K t Sth E ugh m Cw b C w h T B ug bb K C t tch S bb h B E ch Smth K t Sth E ugh m Cw b S B C w Shh T ug bb K C tch S bb h ch Smth K t u Sth E m Cw b h S B C w O Shh T ug bb
More informationA study on Ricci soliton in S -manifolds.
IO Joual of Mathmatc IO-JM -IN: 78-578 p-in: 9-765 olum Iu I Ja - Fb 07 PP - wwwojoualo K dyavath ad Bawad Dpatmt of Mathmatc Kuvmpu vtyhaaahatta - 577 5 hmoa Kaataa Ida Abtact: I th pap w tudy m ymmtc
More informationTDVDC-345 STA= HT= ELE= PARCEL NO /24/12
PL-ADD DAWG 95-27 TA=27116.12 HT=141.75 L=13.71 131 13 95-2 TA=272796.16 HT=151.75 L=112.14 95-29 TA=273776.25 HT=146.75 L=112.5 95-29 TA=274756.34 HT=151.75 L=.59 95-291 TA=275736.4 HT=141.75 L=13.79
More informationGRANITE PEAKS - BUILDING 3 GRADING PLAN ENGINEER SURVEYORS PLANNERS SEGO LILY DRIVE & PETUNIA WAY, SANDY, UTAH NOTES
T A Utah Corporation G UY PLA 0. Ma in tr eet panish Fork, UT 84660 Phone: 80.798.0555 F a x : 8 0. 7 9 8. 9 9 o f f i c e @ l e i e n g. c o m w w w. l e i e n g. c o m G TD PF o. 808 BA T. GABL T A T
More informationSAFE OPERATION OF TUBULAR (PFR) ADIABATIC REACTORS. FIGURE 1: Temperature as a function of space time in an adiabatic PFR with exothermic reaction.
he 47 Lctu Fall 5 SFE OPERION OF UBULR (PFR DIBI REORS I a xthmic acti th tmatu will ctiu t is as mvs alg a lug flw act util all f th limitig actat is xhaust. Schmatically th aiabatic tmatu is as a fucti
More informationLet s celebrate! UNIT. 1 Write the town places. 3 Read and match. school. c 1 When s your birthday? Listen, check and practise the dialogues.
UNIT L clb! Sud Bk pg W h w plc. l c h m c u chl g w m m l p p c p k 7 b 8 l y. L, chck d pc h dlgu. Rd d mch. c Wh yu bhdy? Wh d h flm? Wh p wuld yu lk? Hw much h dg? Wuld yu lk g h pk? D yu lk c? 7 Wh
More informationk of the incident wave) will be greater t is too small to satisfy the required kinematics boundary condition, (19)
TOTAL INTRNAL RFLTION Kmacs pops Sc h vcos a coplaa, l s cosd h cd pla cocds wh h X pla; hc 0. y y y osd h cas whch h lgh s cd fom h mdum of hgh dx of faco >. Fo cd agls ga ha h ccal agl s 1 ( /, h hooal
More informationEmpowers Families Unites Communities Builds Capacity. An In. Read and Rise. Cultivates Literacy
8 Emw Fm U Cmm B Cc g A I Y h P R c L DY : U T S E CAS g L b U N ff H I h H c D Sch R R Cv Lc CASE STUDY A Ig P h Y Lc R Th N Ub Lg H ff wh H I Sch Dc (HISD) c Schc R R, fcg cfc hw gg mw fm f h ch c h
More informationOH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9
OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at
More informationControl Systems. Lecture 8 Root Locus. Root Locus. Plant. Controller. Sensor
Cotol Syt ctu 8 Root ocu Clacal Cotol Pof. Eugo Schut hgh Uvty Root ocu Cotoll Plat R E C U Y - H C D So Y C C R C H Wtg th loo ga a w a ttd tackg th clod-loo ol a ga va Clacal Cotol Pof. Eugo Schut hgh
More informationCh5 Appendix Q-factor and Smith Chart Matching
Ch5 Appedx -factr ad mth Chart Matchg 5B-1 We-Cha a udwg, F Crcut Deg hery ad Applcat, Chapter 8 -type matchg etwrk w-cmpet Matchg Netwrk hee etwrk ue tw reactve cmpet t trafrm the lad mpedace t the dered
More informationBLUE LINE TROLLEY STATION IMPROVEMENTS
TUT GT DD T T TUT HU GT WTH HG GHT G TZ # - + V Y 0/00 HZ GT WTH HG - + = U& PV-50 #555- P JUT X GHT G & DD. HG GHT D P UT UT Y TW P GT WTH HG GHT G & P DT P UT # - + U& P-50 #500-0 UT Y W/HVY DUTY TT
More informationCHAPTER-4 A BROAD CLASS OF ADDITIVE ERROR CODING, CHANNELS AND LOWER BOUND ON THE PROBABILITY OF ERROR FOR BLOCK CODES USING SK- METRIC
CHATER-4 A ROAD CLASS OF ADDITIVE ERROR CODING CHANNELS AND LOWER OUND ON THE ROAILITY OF ERROR FOR LOCK CODES USING SK- METRIC Th ctts f ths Chat a basd m fllwg ublshd a: Gau A Shama D A ad Class f Addtv
More informationNEW GAUSSIAN APPROXIMATION FOR PERFORMANCE EVALUATION OF OPTICAL RECEIVERS WITH ARBITRARY OPTICAL AND ELECTRICAL FILTERS
NW GAUSSIAN APPROXIMATION FOR PRFORMANC VALUATION OF OPTICAL RCIVRS WIT ARBITRARY OPTICAL AND LCTRICAL FILTRS Jã L. Rba a Af V. T. Cata Abtact A w Gaua appmat (GA) whch ta t accut th fuc f abta ptca a
More information1. This question is about homeopathic solutions
Ju f th tl th klt ght fl t yu, ut th pt y cpltly w h qut dgd t chllgg th th typcl pp, ut yu huld tll l t ttpt th U yu ctfc kll t wk thugh th pl lgclly If yu d c tuck pt f qut, th pt ght tll ccl, d t gv
More informationHow to Use. The Bears Beat the Sharks!
Hw t U Th uc vd 24 -wd dng ctn bd n wht kd ncunt vy dy, uch mv tng, y, n Intnt ch cn. Ech ctn ccmnd by tw w-u ctc g ng tudnt cmhnn th ctn. Th dng ctn cn b ud wth ndvdu, m gu, th wh c. Th B cnd bmn, Dn
More informationANIMAL ISSUES BULLETIN MARCH 26, 2012
T N M F N M F C m g ANMAL SSUES BULLETN MARCH 26, 2012 ** Sky Hg Bd B by Ud A ** W M S F S Y ** W P Nd R P ** Zmbbw vg f Tum Hu ** Fbk Mk Su Puy M ** A L: G C A N Cu ** A W f Wd Tx Bu ** Cd S d Cf S L
More informationLu at. a l. iz io. e a. L n. e g s. t p e. e c c. t g. u n. t o. s o
OkRdgN Lu z L l l L by L E g u P g D p d hnul M T h h u l g y I m u f f h (MIT) Cuy f Luz Ll, Ok Rdg Nl Lby. Ud wh pm. S g:chdih (Ifff) (. A O ) C u h u f w E l v h hvg d S b g m g g d h d 2. F kz mp h
More informationPlease turn in form and check to the office by Monday, December 11 th. Amazon.com. HomeGoods. American Express. Lowe s. American Girl. Macy s.
Wh d v p u h w f? B v Sp d m u v h hd, h d ju h wh u m fm b f u PTO! Sp p h M f d. If u d mh h d fm, h u h Bm f vb. Th hudd f h. W w b d hd d du Md, Dmb 11h d v bf h u Fd, Dmb 22d. F d v $100, u p f hm
More informationul bf v m v u mk bg lm bu mp l m A gl lvl p xp v flg umb f l b g jb m u f lm p pu b Oxf Em Fg (OEF) ul b Oxf bu p Oxf Uv ( 1) W l m xm ll mu m mplx v
Av Em: m f P: Pl W Gvm bg up v pl 2011 ul ll k lg lk v u ull bu m Publ b ApW f@ pguk; l: 020 7248 2227; pguk Ju 2011 ul bf v m v u mk bg lm bu mp l m A gl lvl p xp v flg umb f l b g jb m u f lm p pu b
More informationHelping you learn to save. Pigby s tips and tricks
Hlpg yu lan t av Pigby tip and tick Hlpg vy littl av Pigby ha bn tachg hi find all abut ny and hw t av f what ty want. Tuffl i avg f a nw tappy bubbl d and Pi can t wait t b abl t buy nw il pat. Pigby
More informationOak Ridge High School Biology Common Pacing Guide
Ok Rdg Hgh Sch Bgy C Pcg Gud 1 C d B c h y Wk pc 1 Scfc Mhd/Lb Sfy/Gphg I Bgy 2-4 Bchy I Bgy zy 5-7 C C hy Pky/uky Og P v A Sdd # BIO1.LS1-1 BIO1.LS1-2 BIO1.LS1-5 BIO1.LS1-2 Sdd 1) Cp d c xg d, dfy p,
More information, University. 1and. y T. since. g g
UADPhilEc, Dp. f Ecmics,, Uivsi f Ahss Lcu: Nichlas J. hcaakis Dcmb 2 Ec Advacd Maccmic h I: Mdul : Gwh G ad Ccls Basic wh mah im vaiabls. 2. Disc vaiabls Scks (a a pi f im,.. labu fc) ad Flws ( i a pid
More informationJ. Stat. Appl. Pro. Lett. 2, No. 1, (2015) 15
J. Stat. Appl. Pro. Lett. 2, No. 1, 15-22 2015 15 Joural of Statistics Applicatios & Probability Letters A Iteratioal Joural http://dx.doi.org/10.12785/jsapl/020102 Martigale Method for Rui Probabilityi
More informationA L A BA M A L A W R E V IE W
A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N
More informationPolyurethane Evolution
Polyurethane volution 1969 M GUP H D V VY YP F PYUH PP - HGY WH P H D DVPM F W MHY D PDU MHDG. DY, M UU P MG H B KW D W PD H MK, H MDU U P F U P W H UM H H QUPM FGU D V F UM PPP H PDU QUM. UU VB F H
More informationLOCAL NEWS. PAVBBS any at this offioe. TAKE NOT IUE. AH accounts due the. firm qf MORRIS A' III HE mutt be paid to
U Q -2 U- VU V G DDY Y 2 (87 U U UD VY D D Y G UY- D * (* ) * * D U D U q F D G** D D * * * G UX UUV ; 5 6 87 V* " * - j ; j $ Q F X * * «* F U 25 ](«* 7» * * 75! j j U8F j» ; F DVG j * * F DY U» *»q*
More informationStatics. Consider the free body diagram of link i, which is connected to link i-1 and link i+1 by joint i and joint i-1, respectively. = r r r.
Statcs Th cotact btw a mapulato ad ts vomt sults tactv ocs ad momts at th mapulato/vomt tac. Statcs ams at aalyzg th latoshp btw th actuato dv tous ad th sultat oc ad momt appld at th mapulato dpot wh
More informationDepartment of Mathematics and Statistics Indian Institute of Technology Kanpur MSO202A/MSO202 Assignment 3 Solutions Introduction To Complex Analysis
Dpartmt of Mathmatcs ad Statstcs Ida Isttut of Tchology Kapur MSOA/MSO Assgmt 3 Solutos Itroducto To omplx Aalyss Th problms markd (T) d a xplct dscusso th tutoral class. Othr problms ar for hacd practc..
More informationand the ANAVETS Unit Portage Ave, Winnipeg, Manitoba, Canada May 23 to May E L IBSF
t NVET Uit 283 IR FO RE VET ER N N N I MY NVY & R 3584 Pt, Wii, Mitb, IN O RPORTE E IL L I GU VET IF N ENG R H LI E My 23 t My 28-2015 R LE YOUR ONE TOP HOP FOR QULITY POOL UE & ILLIR EORIE GMEROOM 204-783-2666
More informationINSTALLATION INSTRUCTIONS
U 18 D V p y p & d 2-5 - 410 208~230 V. 1. 60 z. Md: YD024GM18M2 YD036GM18M2 YD048GM18M2 YD060GM18M2 : pp f y vy. GZ YMB D M Y M G dd d qfd d v p f pp, dj d p f. d gy bf pg p. fw y pp, dj, v pby g f, k,
More informationADORO TE DEVOTE (Godhead Here in Hiding) te, stus bat mas, la te. in so non mor Je nunc. la in. tis. ne, su a. tum. tas: tur: tas: or: ni, ne, o:
R TE EVTE (dhd H Hdg) L / Mld Kbrd gú s v l m sl c m qu gs v nns V n P P rs l mul m d lud 7 súb Fí cón ví f f dó, cru gs,, j l f c r s m l qum t pr qud ct, us: ns,,,, cs, cut r l sns m / m fí hó sn sí
More informationNuclear Chemistry -- ANSWERS
Hoor Chstry Mr. Motro 5-6 Probl St Nuclar Chstry -- ANSWERS Clarly wrt aswrs o sparat shts. Show all work ad uts.. Wrt all th uclar quatos or th radoactv dcay srs o Urau-38 all th way to Lad-6. Th dcay
More informationCourse 10 Shading. 1. Basic Concepts: Radiance: the light energy. Light Source:
Cour 0 Shadg Cour 0 Shadg. Bac Coct: Lght Sourc: adac: th lght rg radatd from a ut ara of lght ourc or urfac a ut old agl. Sold agl: $ # r f lght ourc a ot ourc th ut ara omttd abov dfto. llumato: lght
More informationContents FREE!
Fw h Hu G, h Cp h w bu Vy Tu u P. Th p h pk wh h pp h. Th u y D 1 D 1 h h Cp. Th. Th hu K E xp h Th Hu I Ch F, bh K P pp h u. Du h p, K G u h xp Ch F. P u D 11, 8, 6, 4, 3. Th bk w K pp. Wh P p pp h p,
More informationCBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane.
CBSE CBSE SET- SECTION. Gv tht d W d to fd 7 7 Hc, 7 7 7. Lt,. W ow tht.. Thus,. Cosd th vcto quto of th pl.. z. - + z = - + z = Thus th Cts quto of th pl s - + z = Lt d th dstc tw th pot,, - to th pl.
More information3.4 Properties of the Stress Tensor
cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato
More informationBUILDER SERIES BALL KNOBSETS
BU B NBT FTU NTT P N Y HN GUNT YWY 5 PN -YB, WT PTY YNG NTUTN YNG () T YNG () FT 1 3 8" T 1 3 4" TH 2 1 1 4" U N JUTB T TH 2 3 8" 2 3 4" BT UTTN PTN FNH # QTY. G B NB N T FNT/B NTY PH B (U3) 36-4410 30
More informationBy Joonghoe Dho. The irradiance at P is given by
CH. 9 c CH. 9 c By Joogo Do 9 Gal Coao 9. Gal Coao L co wo po ouc, S & S, mg moocomac wav o am qucy. L paao a b muc ga a. Loca am qucy. L paao a b muc ga a. Loca po obvao P a oug away om ouc o a a P wavo
More information0 t b r 6, 20 t l nf r nt f th l t th t v t f th th lv, ntr t n t th l l l nd d p rt nt th t f ttr t n th p nt t th r f l nd d tr b t n. R v n n th r
n r t d n 20 22 0: T P bl D n, l d t z d http:.h th tr t. r pd l 0 t b r 6, 20 t l nf r nt f th l t th t v t f th th lv, ntr t n t th l l l nd d p rt nt th t f ttr t n th p nt t th r f l nd d tr b t n.
More informationx 3y 2z = 6 1.2) 2x 4y 3z = 8 3x + 6y + 8z = 5 x + 3y 2z + 5t = 4 1.5) 2x + 8y z + 9t = 9 3x + 5y 12z + 17t = 7
Linear Algebra and its Applications-Lab 1 1) Use Gaussian elimination to solve the following systems x 1 + x 2 2x 3 + 4x 4 = 5 1.1) 2x 1 + 2x 2 3x 3 + x 4 = 3 3x 1 + 3x 2 4x 3 2x 4 = 1 x + y + 2z = 4 1.4)
More informationChapter 3 Convolution Representation
Chapter 3 Convolution Representation DT Unit-Impulse Response Consider the DT SISO system: xn [ ] System yn [ ] xn [ ] = δ[ n] If the input signal is and the system has no energy at n = 0, the output yn
More informationTABLES AND INFORMATION RETRIEVAL
Ch 9 TABLES AND INFORMATION RETRIEVAL 1. Id: Bkg h lg B 2. Rgl Ay 3. Tbl f V Sh 4. Tbl: A Nw Ab D Ty 5. Al: Rdx S 6. Hhg 7. Aly f Hhg 8. Cl: Cm f Mhd 9. Al: Th Lf Gm Rvd Ol D S d Pgm Dg I C++ T. 1, Ch
More informationH uman capital development the nurturing and development of leaders, teams and
T d cc x d: c c c c cc Gm Tm Gm Tm Dc Sy T T G, Nw Yk, USA. H m c dvm d dvm d, m d z cy c v c cc. B, d cd c d c y d cc, m cy cm d d. W v cd c cc, c c w cy d wk: Hw d w v y d cy wk? Hw d w w cmmm d y wk
More informationExtra Sales Opportunities
Ex S Opp 3 G S T Mxm S! Sgh--Bk Jmb 40 NEW Bbc Bd 9cm: Rmy ffc, Thym Ach Gd (x2) NEW G wh G 9cm: Rmy ffc, Thym Sv P (x2) NEW J Og 9cm: Og Vgd, Og H & Spcy, Og m Gd NEW Md Tw 9cm: Sv Pp, Thym Ach Gd, Og
More informationT h e C S E T I P r o j e c t
T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T
More informationI M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o
I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l
More informationExam-style practice: A Level
Exa-tye practce: A Leve a Let X dete the dtrbut ae ad X dete the dtrbut eae The dee the rad varabe Y X X j j The expected vaue Y : E( Y) EX X j j EX EX j j EX E X 7 The varace : Var( Y) VarX VarX j j Var(
More informationRESOURCE, SUPPORT, AND DEVELOPMENT, INC
RESOURCE, SUPPORT, AND DEVELOPMENT, INC BOARD OF DIRECTORS Pd Pk E. K V-Pd B R S L Bd-Sw Ld Tk Nk Edwd A DB Dv S ADMINISTRATIVE TEAM Pvd v dvd w db B, Hd, Lww, d Rd Ld, M A Pb R.S.D., I Smm 2006 Vm 5 CEO
More information( V ) 0 in the above equation, but retained to keep the complete vector identity for V in equation.
Cuvlna Coodnats Outln:. Otogonal cuvlna coodnat systms. Dffntal opatos n otogonal cuvlna coodnat systms. Dvatvs of t unt vctos n otogonal cuvlna coodnat systms 4. Incompssbl N-S quatons n otogonal cuvlna
More informationSELF-GUIDED LEARNING EXPEDITION SOCIAL STUDIES. Name GRADE LEVEL: 4 5 STUDENT GUIDE
F-U XPT TU m V: 4 5 TUT U TU Hgh t lt th xpt, wll vt th fllwg t cmplt ctvt lt t th thm Hgh t lt XHBT TT hck ( ) wh cmplt Hll f Plt Hll f xplt ttlmt fé Tc tm lv g Tg t mck fé lm lm B V ll ll lm m Blg Hll
More informationAROUND THE WORLD IN 50 WAYS
G d f p k. S ff f Ld d v wd, T k bck! I gbg dvu, u c w g d w g, f uk uk d d b d b. Yu Exp fu c, pc d, w wdd d d! W f pb u, d ck dd d, u b pc ju! Pp bk cfd g F Swdp Cuc dd. FSC p v pb, c bfc d cc vb g f
More informationEXHIBIT LIST. No Exhibit Name Page. 1 P412 Location Map.pdf (P412) 2. 2 P413 Construction.pdf (P413) 3. 3 P414 Operation.
fc N: / : J c ub b : u -Ju-8 XII I g f N xb N g c ppf () ucpf () ppf () v g ppf () ggpf () - gg pf () 8 v_ppf (8) - 8 9 8pf (9) - // D I J w! Yx c w c f w Vcg f bu f ' K uc w g' K u g v p 8 9 w w V V p
More information9.6: Matrix Exponential, Repeated Eigenvalues. Ex.: A = x 1 (t) = e t 2 F.M.: If we set
9.6: Matrix Exponential, Repeated Eigenvalues x Ax, A : n n (1) Def.: If x 1 (t),...,x n (t) is a fundamental set of solutions (F.S.S.) of (1), then X(t) x 1 (t),...,x n (t) (n n) is called a fundamental
More informationSoft Computing and Energy Time Series
Sf mpug d gy Tm S 1 duc A mpvm f chlgcl pc cl lvl c b chvd by m ly d pdc f h fuu bhv. Th pp dl wh h ulz f f cmpug fx b h pdc f gy m. W c fd pplc f h pdc by h cl pduc f gy, h, c. 2 Applc f Sf mpug Th pplc
More informationLecture two. January 17, 2019
Lecture two January 17, 2019 We will learn how to solve rst-order linear equations in this lecture. Example 1. 1) Find all solutions satisfy the equation u x (x, y) = 0. 2) Find the solution if we know
More informationDas Klassik & Jazz Magazin. Mediapack 2018
Ds Kssk & Jzz Mgz Mdpck 2018 Ds Kssk & Jzz Mgz t gc TOPICS RONDO s d by 100% fcds f cssc musc Sc 1992 RONDO s dpy tgtd cutu f RONDO chs th w-fudd tgt udc f cssc musc: gu vsts f ccts d ps, stdy buys f cssc
More informationNapa Valley Intergroup July 8, 2017
Vy g Jy, g Mm f c & y y w g / w Cm ck: Y Wm mg mg, D G Wh f by by Bhy h Mh: L mh m (Yw Cy) & g h b (Wh Cy) M v h y bjc h g- h *vc Mhy g & Dc Dc- h g hmv gh b fy by h vy cb f h w mmb W hk h ch g h chv h
More informationEarly Years in Colorado
Rp m H V I 6 p - Bb W M M M B L W M b w b B W C w m p w bm 7 Nw m m m p b p m w p E Y C W m D w w Em W m 7- A m m 7 w b m p V A Gw C M Am W P w C Am H m C q Dpm A m p w m m b W I w b-w C M B b m p W Nw
More informationMathematical Methods - Lecture 9
Mathematical Methods - Lecture 9 Yuliya Tarabalka Inria Sophia-Antipolis Méditerranée, Titane team, http://www-sop.inria.fr/members/yuliya.tarabalka/ Tel.: +33 (0)4 92 38 77 09 email: yuliya.tarabalka@inria.fr
More informationNoise in electronic components.
No lto opot5098, JDS No lto opot Th PN juto Th ut thouh a PN juto ha fou opot t: two ffuo ut (hol fo th paa to th aa a lto th oppot to) a thal at oty ha a (hol fo th aa to th paa a lto th oppot to, laka
More informationShedding Light on Ireland s online content sharing habits October Vicky Shekleton, Insights Manager
Shddg Lgh Id c hg hb Ocb 2017 Vcky Shk, Igh Mg 01 02 03 04 05 SOCIAL USAGE SHARING CONTENT CONTENT TYPES HOW WORD OF MOUTH TRAVELS INSIGHTS & RECOMMENDATIONS Suc: Tchpd Iduc & Bckgud Dk Sc m cd by Ax C.
More informationCross Efficiency of Decision Making Units with the Negative Data in Data Envelopment Analysis
Pceedg f the 202 Iteatal Cfeece Idutal Egeeg ad Opeat Maageet Itabul, Tuey, July 3 6, 202 C Effcecy f Dec Mag Ut wth the Negatve Data Data Evelpet Aaly Ghae Thd Depatet f Matheatc Ilac Azad Uvety - Cetal
More informationFirst order Partial Differential equations
First order Partial Differential equations 0.1 Introduction Definition 0.1.1 A Partial Deferential equation is called linear if the dependent variable and all its derivatives have degree one and not multiple
More informationCBSE SAMPLE PAPER SOLUTIONS CLASS-XII MATHS SET-2 CBSE , ˆj. cos. SECTION A 1. Given that a 2iˆ ˆj. We need to find
BSE SMLE ER SOLUTONS LSS-X MTHS SET- BSE SETON Gv tht d W d to fd 7 7 Hc, 7 7 7 Lt, W ow tht Thus, osd th vcto quto of th pl z - + z = - + z = Thus th ts quto of th pl s - + z = Lt d th dstc tw th pot,,
More informationKitchenwares Beezy and Beezy logo is copyright registered
Kchw PRODUCT PHOTO GALLERY www.bzykchwd.cm 2013 Bzy d Bzy g cpygh gd P p Ch 255 250 252 c J 251 F F Jc Cd Im B-230 Fh Jc Sm 338 B-231 Og Jc Vcm B-252 F Jc Bg B-255 Nw F Jc Dx B-250 P Fg Chp C B-251 P Fg
More informationThe Evolution of Outsourcing
Uvy f R I DCmm@URI S H Pj H Pm Uvy f R I 2009 T Ev f O M L. V Uvy f R I, V99@m.m Fw wk : ://mm../ P f B Cmm Rmm C V, M L., "T Ev f O" (2009). S H Pj. P 144. ://mm..//144://mm..//144 T A b y f f by H Pm
More informationDistributed Set Reachability
Dstt St Rty S Gj Mt T Mx-P Isttt Its, Usty U Gy SIGMOD 2016, S Fs, USA Dstt St Rty Dstt St Rty (DSR) s zt ty xt t sts stt stt Dstt St Rty 2 Dstt St Rty Dstt St Rty (DSR) s zt ty xt t sts stt stt Dstt St
More informationGliderol Panel Glide Sectional Overhead Garage Door
Gd P Gd S Ovd Gg D PANELGLIDE Fm dd mufu Gd Gg Ds ms u v gg ds s vd Gd P-Gd Gg D, v, g qu gg d mufud fm g sg gvsd s. Usg v pg p ssm d bd suu pg d suspdd z fm g P-Gd s d s fu us f dv f pkg. P-Gd s ds mufud
More informationLecture 23. Multilayer Structures
Lcu Mullay Sucus In hs lcu yu wll lan: Mullay sucus Dlcc an-flcn (AR) cangs Dlcc hgh-flcn (HR) cangs Phnc Band-Gap Sucus C Fall 5 Fahan Rana Cnll Unvsy Tansmssn Ln Juncns and Dscnnus - I Tansmssn ln dscnnus
More informationA RWA Performance Comparison for Hybrid Optical Networks combining Circuit and Multi-Wavelength Packet Switching
1 R c Cp Hd Optc tw c Cct d Mt- ct Swtch Kt Mchd 1,3, Hd Iz 1,2, H Mw 1,2, d J M 3 1 Th Ut T 2 t Ittt It d Cct (ICT) 3 K Ut E-: chd@c.wd.d.jp tct Th pp cp t d w t hd ptc tw chtct c ptc cct wtch (OCS) d
More informationVISUALIZATION OF TRIVARIATE NURBS VOLUMES
ISUALIZATIO OF TRIARIATE URS OLUMES SAMUELČÍK Mat SK Abstact. I ths pap fcs patca st f f-f bcts a ts sazat. W xt appach f g cs a sfacs a ppa taat s bas z a -sp xpsss. O a ga s t saz g paatc s. Th sazat
More information