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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationWed, 29 Dec 2010 21:51:02 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/29/t12936593678rlye0nmh1xdxzt.htm/, Retrieved Fri, 03 May 2024 03:54:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=117146, Retrieved Fri, 03 May 2024 03:54:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [(partial) autocor...] [2009-12-09 13:20:29] [f7fc9270f813d017f9fa5b506fdc7682]
- RMP   [Variance Reduction Matrix] [variance reductio...] [2009-12-09 14:08:41] [f7fc9270f813d017f9fa5b506fdc7682]
- R  D    [Variance Reduction Matrix] [] [2010-12-26 20:46:22] [c420bdd199bcbe079f7d532ca3855317]
-             [Variance Reduction Matrix] [VRM- NWWZ] [2010-12-29 21:51:02] [63a115f47699ab31b1a302b9539c58a2] [Current]
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Dataseries X:
206010
198112
194519
185705
180173
176142
203401
221902
197378
185001
176356
180449
180144
173666
165688
161570
156145
153730
182698
200765
176512
166618
158644
159585
163095
159044
155511
153745
150569
150605
179612
194690
189917
184128
175335
179566
181140
177876
175041
169292
166070
166972
206348
215706
202108
195411
193111
195198
198770
194163
190420
189733
186029
191531
232571
243477
227247
217859
208679
213188
216234
213586
209465
204045
200237
203666
241476
260307
243324
244460
233575
237217
235243
230354
227184
221678
217142
219452
256446
265845
248624
241114
229245
231805
219277
219313
212610
214771
211142
211457
240048
240636
230580
208795
197922
194596
194581
185686
178106
172608
167302
168053
202300
202388
182516
173476
166444
171297
169701
164182
161914
159612
151001
158114
186530
187069
174330
169362
166827
178037
186413
189226
191563
188906
186005
195309
223532
226899
214126
206903
204442
220375
214320
212588
205816
202196
195722
198563
229139
229527
211868
203555
195770




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ www.wessa.org

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117146&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117146&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117146&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ www.wessa.org







Variance Reduction Matrix
V(Y[t],d=0,D=0)692473505.103024Range115276Trim Var.474024249.981877
V(Y[t],d=1,D=0)156520608.398562Range65564Trim Var.71168106.1115556
V(Y[t],d=2,D=0)239616391.288855Range81499Trim Var.120131649.282323
V(Y[t],d=3,D=0)548743239.949178Range125171Trim Var.284406736.891429
V(Y[t],d=0,D=1)491558112.0633Range90402Trim Var.354146162.387857
V(Y[t],d=1,D=1)28335850.4581992Range33911Trim Var.14779877.7111694
V(Y[t],d=2,D=1)58350973.5621366Range44005Trim Var.27902811.2674294
V(Y[t],d=3,D=1)190331656.105746Range76554Trim Var.97131659.4146872
V(Y[t],d=0,D=2)654905858.432132Range101436Trim Var.497623011.684535
V(Y[t],d=1,D=2)74790462.8544111Range55325Trim Var.36685410.3580413
V(Y[t],d=2,D=2)165809250.864721Range80924Trim Var.93475736.680403
V(Y[t],d=3,D=2)536651970.034483Range137469Trim Var.297251159.494772

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 692473505.103024 & Range & 115276 & Trim Var. & 474024249.981877 \tabularnewline
V(Y[t],d=1,D=0) & 156520608.398562 & Range & 65564 & Trim Var. & 71168106.1115556 \tabularnewline
V(Y[t],d=2,D=0) & 239616391.288855 & Range & 81499 & Trim Var. & 120131649.282323 \tabularnewline
V(Y[t],d=3,D=0) & 548743239.949178 & Range & 125171 & Trim Var. & 284406736.891429 \tabularnewline
V(Y[t],d=0,D=1) & 491558112.0633 & Range & 90402 & Trim Var. & 354146162.387857 \tabularnewline
V(Y[t],d=1,D=1) & 28335850.4581992 & Range & 33911 & Trim Var. & 14779877.7111694 \tabularnewline
V(Y[t],d=2,D=1) & 58350973.5621366 & Range & 44005 & Trim Var. & 27902811.2674294 \tabularnewline
V(Y[t],d=3,D=1) & 190331656.105746 & Range & 76554 & Trim Var. & 97131659.4146872 \tabularnewline
V(Y[t],d=0,D=2) & 654905858.432132 & Range & 101436 & Trim Var. & 497623011.684535 \tabularnewline
V(Y[t],d=1,D=2) & 74790462.8544111 & Range & 55325 & Trim Var. & 36685410.3580413 \tabularnewline
V(Y[t],d=2,D=2) & 165809250.864721 & Range & 80924 & Trim Var. & 93475736.680403 \tabularnewline
V(Y[t],d=3,D=2) & 536651970.034483 & Range & 137469 & Trim Var. & 297251159.494772 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117146&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]692473505.103024[/C][C]Range[/C][C]115276[/C][C]Trim Var.[/C][C]474024249.981877[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]156520608.398562[/C][C]Range[/C][C]65564[/C][C]Trim Var.[/C][C]71168106.1115556[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]239616391.288855[/C][C]Range[/C][C]81499[/C][C]Trim Var.[/C][C]120131649.282323[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]548743239.949178[/C][C]Range[/C][C]125171[/C][C]Trim Var.[/C][C]284406736.891429[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]491558112.0633[/C][C]Range[/C][C]90402[/C][C]Trim Var.[/C][C]354146162.387857[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]28335850.4581992[/C][C]Range[/C][C]33911[/C][C]Trim Var.[/C][C]14779877.7111694[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]58350973.5621366[/C][C]Range[/C][C]44005[/C][C]Trim Var.[/C][C]27902811.2674294[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]190331656.105746[/C][C]Range[/C][C]76554[/C][C]Trim Var.[/C][C]97131659.4146872[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]654905858.432132[/C][C]Range[/C][C]101436[/C][C]Trim Var.[/C][C]497623011.684535[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]74790462.8544111[/C][C]Range[/C][C]55325[/C][C]Trim Var.[/C][C]36685410.3580413[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]165809250.864721[/C][C]Range[/C][C]80924[/C][C]Trim Var.[/C][C]93475736.680403[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]536651970.034483[/C][C]Range[/C][C]137469[/C][C]Trim Var.[/C][C]297251159.494772[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117146&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117146&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Variance Reduction Matrix
V(Y[t],d=0,D=0)692473505.103024Range115276Trim Var.474024249.981877
V(Y[t],d=1,D=0)156520608.398562Range65564Trim Var.71168106.1115556
V(Y[t],d=2,D=0)239616391.288855Range81499Trim Var.120131649.282323
V(Y[t],d=3,D=0)548743239.949178Range125171Trim Var.284406736.891429
V(Y[t],d=0,D=1)491558112.0633Range90402Trim Var.354146162.387857
V(Y[t],d=1,D=1)28335850.4581992Range33911Trim Var.14779877.7111694
V(Y[t],d=2,D=1)58350973.5621366Range44005Trim Var.27902811.2674294
V(Y[t],d=3,D=1)190331656.105746Range76554Trim Var.97131659.4146872
V(Y[t],d=0,D=2)654905858.432132Range101436Trim Var.497623011.684535
V(Y[t],d=1,D=2)74790462.8544111Range55325Trim Var.36685410.3580413
V(Y[t],d=2,D=2)165809250.864721Range80924Trim Var.93475736.680403
V(Y[t],d=3,D=2)536651970.034483Range137469Trim Var.297251159.494772



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 12 ; par2 = ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
n <- length(x)
sx <- sort(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Variance Reduction Matrix',6,TRUE)
a<-table.row.end(a)
for (bigd in 0:2) {
for (smalld in 0:3) {
mylabel <- 'V(Y[t],d='
mylabel <- paste(mylabel,as.character(smalld),sep='')
mylabel <- paste(mylabel,',D=',sep='')
mylabel <- paste(mylabel,as.character(bigd),sep='')
mylabel <- paste(mylabel,')',sep='')
a<-table.row.start(a)
a<-table.element(a,mylabel,header=TRUE)
myx <- x
if (smalld > 0) myx <- diff(myx,lag=1,differences=smalld)
if (bigd > 0) myx <- diff(myx,lag=par1,differences=bigd)
a<-table.element(a,var(myx))
a<-table.element(a,'Range',header=TRUE)
a<-table.element(a,max(myx)-min(myx))
a<-table.element(a,'Trim Var.',header=TRUE)
smyx <- sort(myx)
sn <- length(smyx)
a<-table.element(a,var(smyx[smyx>quantile(smyx,0.05) & smyxa<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable.tab')
bitmap(file='pic0.png')
op <- par(mfrow=c(2,2))
plot(x,type='l',xlab='time',ylab='value',main='d=0, D=0')
plot(diff(x,lag=1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=0')
plot(diff(x,lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=0, D=1')
plot(diff(diff(x,lag=1,differences=1),lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=1')
par(op)
dev.off()