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AutoCorrelated%20data%20charts

AutoCorrelated%20data%20charts - v'd Dr L Hon I B 1 L J m p...

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Unformatted text preview: v'd Dr. L\ Hon I B. 1 L J m p L) It C '1: weer ‘Hf‘ f \0 ' 7 (Dhaka, qudmm Mot (gwén‘cmwfé‘. . ES “mew-.2 a Cesr‘relm41‘m ba+W Scatter plot of x, versus x,_ 1. Engineer's; COI’H131112111011 Pad ijK—Q above 05mm M ADAM a [Desigu-L Chi-Twa- NM 1 That is a 1e1ative1y low observation on x at time t — 1 tends to be followed by anothei low value at time t,whe1eas a relatively 1arg6 obseivation at time 1‘ — 1 tends to be followed by anothei laige value at time t. This type of behavior is indicative of positive autocm‘itelation in the observations. AM‘1M Coxlemfimfi ‘FLUHCHW «Ub OQtML‘AM W 'CDUCDC&/ 1Q Jfi‘w/La Pawgmdb m egéw'mwloxja meg—L \lavat Mai. A m Jam/14‘ finwfia 0% €1<2 Wham W (Uwfla WW) (S wmilple; Min Carma 1&1?sz lad-{Gen . afiéafi“. ll‘k 2&1 — )6er k — X) t=1 _ rk=—-———————— k— n 20“ — E? t: O,1,...,K ”12.5 ~( m 00.70% oiafim “(k A» Show bglgw. 1.0 — 0.8 ""_ 0.6 1—1 014 -§ 0.2 all rt 0.0 Va ._02 ._ -0‘4 __ —O.6 .— —O.8 —1'0 if I 1 5 15 25 Lag, k Figure 9-8 Sample autocorrelation function for the data in Fig 9—6, (9—10) USMHEAT file A; CQ‘MFM—tfil fiewr /%2/J~§ wa1w0’% *1 952m") Ow )‘Q . @ vaC W: Inc $2.157 JCS v14 I L0“? IQ) P3u+ @ m away! Lam mm (m us aura acr (rmch (OT ng)’. Ccm \awu hmsza) CF31 m ”+6 @YV’Q/[M'HW Pawamkzw/ PK CJ’ r 29 k. ‘8” ® ‘34— ,1}; WA Cm dQEéF-QQHYL% WOW? anc t 1 Cwé‘ra , (1me aincm/s . (221$ QSW?L& @415 CGTY-Etoc'fi‘mn mm «‘36 «Hm AWAKM oiammrn‘em (.‘m:+/ W1 merwyfimdffigj what vafatmé-{m {Doxvavn—U'a \ it Ab {:‘keié MM“: %%~c.> Chow“? Fatvrémmm mg > UJ> CW—N‘TVLUF Ox {SE/\audwak—r Cdfl4‘1‘el QlflOxfi"+“ ~u\r 03W 71 - 7O 69 68 67 66 65 64 63 62 Subgroup UCL = 69.14 Mean 2 66.74 LCL = 6435 Individual value Comput :tion Pad 1 Q x.) ngineer E Moving range I\) (,0 UCL = 2.943 1- 17:0.9007 o _ - LCL=O I \‘ , (,5 MA AH «Iowa ekmsrg xxéxxb:+ “577% owndcgfimai P‘meI-a‘ «2.2 W 68 UCL = 67.29 Mean = 66.74 LCL: 66.20 66 it I}, \; gt: "I .. 9‘5 1:; ii; -‘ I; ’k 2;. 313 ‘ __.___._____1_J O 500 Sample number (1;) EWMA control chart IS 1 L223. Qrafifwm+ {SWFL‘fla/ Cm b‘rfiefiil WE; W mew: CSW'fl'dile‘E-z‘orr} vfim P‘rocw dew-ox. OESQ’YV‘ er—(‘Mfi : Pahfi 10 20 3O 4O 50 6O 7O 80 90 100 (a) Data loooooaaoaa 83285023 (b) Sample autocorrelation function Figure 9-10 Plots for every 10th observation from Fig. 9-6. U'CL : 70.78 ‘ [fifiiwfifih +wa Wave dub “\Yahra. we? E3229; {He‘d-e. ouxha Lc'rrzhuh‘w go‘s [cw Q03 ”grime Cgmnmfl m ab 0M "E‘guvr-a LCL = 62.84 98765432 66666666 lOO Subgroup l 8 8 4 . OJ 4 4 __ 1 L C U mmEfi m:_>o_>_ 5 4 3 2 1 O ((1) Individuals and moving range control charts NO 937 8‘1 ‘1 E [Engineer’s Computation Pad E3? (6?? V x2. I _~‘.___._“._J_A. 1 1W (REQ‘HE Cwef‘cal Qko‘wh Toncuura {-uoqr m P’rmmz‘q‘, )ZMmé-Q «Hg Afibla . Qa mm (m. '. W A ‘77 EWMA 0‘- \1 l , "v; ’)(-~.~_ , , ‘ of I’M 66 ' o ' 50 Sample number 100 UCL: 67.72 Mean = 66,81 LCL= 65.90 (b) EWMA control chart Q) GYU; Dkuvoka +5 063.0‘L‘Yk6 WE‘f’fi 1 mm Corrzlmfi‘om A ATMPla, +2: Ampla i/‘xcfm W PVC) W; dam /%{A_o¢m [222A CPY-O—éi WHK - :32? Lu: “mg: Mefij‘gm‘w WA (3% awmlwifi Gim‘éfi‘». Usekw $3.3.ng 020v. o§+w£h \ l‘n u~r modw‘cm . (9 W JP'TW {SWFUWO 934093 NW “Mud“ (Mam +5 «page? amaze} “mat? szaf OkiPID‘RDAClq .Ls Wfi. ,v r; I, L. mer's meputatiom Pad m 172” Kg: “ H l'" “a. :3) ‘-'\ ‘ ERA 0032,] _ BM A PPTQACk W i wam Emmi?» Mu dds. Rm Wmou wmwfl ch CLL'H’O CDVYfiltMJ-Qi Mmelat W CGTT‘EIU‘J‘wl CMAY‘F (£0th “FEM awed ‘ _,_. Mocha "FRWWGVM 4M cud-n: me-eimh'm .» {mm W ,‘Q m 9 «e: 4:"‘& arcsa W (Y! SPC— CL‘fiW‘IYS “T [m gzvg-Lg), M CIA-2.13 “hu— Ohxl-za Wfirmwfi modem _..... Muuiflck avzvmgx; “Maids ..... Cembfwmflmfi Whackafmviwfl W& “mom‘vxa Avwmxag "flfiaelaLQ «— Imbaamc—ad momma owflwxzr‘ “Macias ...
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