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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 16:04:37 +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/t1293638545zn9im92if6mom18.htm/, Retrieved Fri, 03 May 2024 03:55:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=116934, Retrieved Fri, 03 May 2024 03:55:51 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [paper variantie r...] [2010-12-29 16:04:37] [be9f1751361e0e66b042227828c71db5] [Current]
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Dataseries X:
347553
353245
347966
364343
341713
361162
354400
345183
341807
348712
349011
416259
360289
367557
364611
378688
351763
377765
373212
365819
364686
363333
362536
428803
375361
377205
381266
390516
366117
393928
387784
385656
385320
389053
390595
462440
402532
409070
421329
428841
404864
432633
416886
414893
417914
417518
423137
506710
436264
443712
452849
453009
437876
460041
450426
447873
444955
452043
480877
546696
483668
489627
490007
496590
480846
497677
492795
488495
486769
494455
498054
558648
506424
512528
512866
529324
508431
523026
521355
514103
513885
522150
527384
654047
543115
543200
571201
568892
537223
553186
550954
543433
557195
565522
571691
633972
575265
572364
586744
600389
578540
610778
596577
590558
597294
602384
614190
690042
639497
649304
678762
691885
667973
682032
672651
671865
671463
675917
680952
754718
694413
699390
710573
714217
702996
712370
708445
707083
700632
706309
709523
769096
715100
713872
714032
732269
711137
715284
716888
716426
714726
718016
725932
779564
732144
730816
746719
760065
734516
740167
740976
735764
734711
737916
739132
792705
747488
746616
749781
760911
739543
745626
746246
744769
741388
744469
745566
798367
752440
756627
758941
771287
749858
758370
755407
752063
756298
755892
758486
812777
762561
763579
764615
773312
755697
762909
760337
759270
754929
766116
765945
814783
768494
769222
768977
783341
764061
767394
763910
761677
759173
762486
762690
809542
769041
770889
773527
789890
768325
772712
772944
769637
768546
775013
776635




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116934&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116934&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116934&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Variance Reduction Matrix
V(Y[t],d=0,D=0)23525666644.8269Range473070Trim Var.20468937164.6497
V(Y[t],d=1,D=0)754732213.339564Range237595Trim Var.268607056.673647
V(Y[t],d=2,D=0)2235070632.33262Range359024Trim Var.960808105.308184
V(Y[t],d=3,D=0)7408550006.47259Range707636Trim Var.3135922624.50763
V(Y[t],d=0,D=1)754732213.339564Range237595Trim Var.268607056.673647
V(Y[t],d=1,D=1)2235070632.33262Range359024Trim Var.960808105.308184
V(Y[t],d=2,D=1)7408550006.47259Range707636Trim Var.3135922624.50763
V(Y[t],d=3,D=1)25899611828.4054Range1191120Trim Var.12717927232.5306
V(Y[t],d=0,D=2)2235070632.33262Range359024Trim Var.960808105.308184
V(Y[t],d=1,D=2)7408550006.47259Range707636Trim Var.3135922624.50763
V(Y[t],d=2,D=2)25899611828.4054Range1191120Trim Var.12717927232.5306
V(Y[t],d=3,D=2)93554053507.4382Range2330469Trim Var.47267165321.5604

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 23525666644.8269 & Range & 473070 & Trim Var. & 20468937164.6497 \tabularnewline
V(Y[t],d=1,D=0) & 754732213.339564 & Range & 237595 & Trim Var. & 268607056.673647 \tabularnewline
V(Y[t],d=2,D=0) & 2235070632.33262 & Range & 359024 & Trim Var. & 960808105.308184 \tabularnewline
V(Y[t],d=3,D=0) & 7408550006.47259 & Range & 707636 & Trim Var. & 3135922624.50763 \tabularnewline
V(Y[t],d=0,D=1) & 754732213.339564 & Range & 237595 & Trim Var. & 268607056.673647 \tabularnewline
V(Y[t],d=1,D=1) & 2235070632.33262 & Range & 359024 & Trim Var. & 960808105.308184 \tabularnewline
V(Y[t],d=2,D=1) & 7408550006.47259 & Range & 707636 & Trim Var. & 3135922624.50763 \tabularnewline
V(Y[t],d=3,D=1) & 25899611828.4054 & Range & 1191120 & Trim Var. & 12717927232.5306 \tabularnewline
V(Y[t],d=0,D=2) & 2235070632.33262 & Range & 359024 & Trim Var. & 960808105.308184 \tabularnewline
V(Y[t],d=1,D=2) & 7408550006.47259 & Range & 707636 & Trim Var. & 3135922624.50763 \tabularnewline
V(Y[t],d=2,D=2) & 25899611828.4054 & Range & 1191120 & Trim Var. & 12717927232.5306 \tabularnewline
V(Y[t],d=3,D=2) & 93554053507.4382 & Range & 2330469 & Trim Var. & 47267165321.5604 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116934&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]23525666644.8269[/C][C]Range[/C][C]473070[/C][C]Trim Var.[/C][C]20468937164.6497[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]754732213.339564[/C][C]Range[/C][C]237595[/C][C]Trim Var.[/C][C]268607056.673647[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]2235070632.33262[/C][C]Range[/C][C]359024[/C][C]Trim Var.[/C][C]960808105.308184[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]7408550006.47259[/C][C]Range[/C][C]707636[/C][C]Trim Var.[/C][C]3135922624.50763[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]754732213.339564[/C][C]Range[/C][C]237595[/C][C]Trim Var.[/C][C]268607056.673647[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]2235070632.33262[/C][C]Range[/C][C]359024[/C][C]Trim Var.[/C][C]960808105.308184[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]7408550006.47259[/C][C]Range[/C][C]707636[/C][C]Trim Var.[/C][C]3135922624.50763[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]25899611828.4054[/C][C]Range[/C][C]1191120[/C][C]Trim Var.[/C][C]12717927232.5306[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]2235070632.33262[/C][C]Range[/C][C]359024[/C][C]Trim Var.[/C][C]960808105.308184[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]7408550006.47259[/C][C]Range[/C][C]707636[/C][C]Trim Var.[/C][C]3135922624.50763[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]25899611828.4054[/C][C]Range[/C][C]1191120[/C][C]Trim Var.[/C][C]12717927232.5306[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]93554053507.4382[/C][C]Range[/C][C]2330469[/C][C]Trim Var.[/C][C]47267165321.5604[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116934&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116934&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)23525666644.8269Range473070Trim Var.20468937164.6497
V(Y[t],d=1,D=0)754732213.339564Range237595Trim Var.268607056.673647
V(Y[t],d=2,D=0)2235070632.33262Range359024Trim Var.960808105.308184
V(Y[t],d=3,D=0)7408550006.47259Range707636Trim Var.3135922624.50763
V(Y[t],d=0,D=1)754732213.339564Range237595Trim Var.268607056.673647
V(Y[t],d=1,D=1)2235070632.33262Range359024Trim Var.960808105.308184
V(Y[t],d=2,D=1)7408550006.47259Range707636Trim Var.3135922624.50763
V(Y[t],d=3,D=1)25899611828.4054Range1191120Trim Var.12717927232.5306
V(Y[t],d=0,D=2)2235070632.33262Range359024Trim Var.960808105.308184
V(Y[t],d=1,D=2)7408550006.47259Range707636Trim Var.3135922624.50763
V(Y[t],d=2,D=2)25899611828.4054Range1191120Trim Var.12717927232.5306
V(Y[t],d=3,D=2)93554053507.4382Range2330469Trim Var.47267165321.5604



Parameters (Session):
par1 = 1 ;
Parameters (R input):
par1 = 1 ;
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()