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Author*The author of this computation has been verified*
R Software Modulerwasp_variancereduction.wasp
Title produced by softwareVariance Reduction Matrix
Date of computationMon, 14 Dec 2009 13:17:44 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/14/t1260821945957v8yu8bmjjogy.htm/, Retrieved Sun, 05 May 2024 17:37:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=67659, Retrieved Sun, 05 May 2024 17:37:37 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact157
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variance Reduction Matrix] [Variance reductio...] [2008-12-11 15:42:45] [12d343c4448a5f9e527bb31caeac580b]
-  MPD    [Variance Reduction Matrix] [variance reductio...] [2009-12-14 20:17:44] [244731fa3e7e6c85774b8c0902c58f85] [Current]
- RMPD      [(Partial) Autocorrelation Function] [AcF VARIANCE ] [2009-12-15 20:22:52] [ba905ddf7cdf9ecb063c35348c4dab2e]
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Dataseries X:
2058,00
2160,00
2260,00
2498,00
2695,00
2799,00
2947,00
2930,00
2318,00
2540,00
2570,00
2669,00
2450,00
2842,00
3440,00
2678,00
2981,00
2260,00
2844,00
2546,00
2456,00
2295,00
2379,00
2479,00
2057,00
2280,00
2351,00
2276,00
2548,00
2311,00
2201,00
2725,00
2408,00
2139,00
1898,00
2537,00
2069,00
2063,00
2526,00
2440,00
2191,00
2797,00
2074,00
2628,00
2287,00
2146,00
2430,00
2141,00
1827,00
2082,00
1788,00
1743,00
2245,00
1963,00
1828,00
2527,00
2114,00
2424,00




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=67659&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=67659&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67659&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Variance Reduction Matrix
V(Y[t],d=0,D=0)111890.419842710Range1697Trim Var.68776.334841629
V(Y[t],d=1,D=0)133307.426691729Range1461Trim Var.91449.2196078431
V(Y[t],d=2,D=0)415380.935064935Range2665Trim Var.275994.675918367
V(Y[t],d=3,D=0)1418877.33670034Range4793Trim Var.922130.19302721
V(Y[t],d=0,D=1)171924.036714976Range2269Trim Var.80682.1891025641
V(Y[t],d=1,D=1)243215.981818182Range1843Trim Var.160516.649122807
V(Y[t],d=2,D=1)762135.206659619Range3155Trim Var.523801.229018492
V(Y[t],d=3,D=1)2676886.12956811Range5935Trim Var.1906578.91741742
V(Y[t],d=0,D=2)502983.547237077Range3533Trim Var.251700.202298851
V(Y[t],d=1,D=2)702589.875Range3418Trim Var.455507.02955665
V(Y[t],d=2,D=2)2235483.35080645Range5935Trim Var.1421806.73015873
V(Y[t],d=3,D=2)7921107.5139785Range10471Trim Var.5468075.96866097

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 111890.419842710 & Range & 1697 & Trim Var. & 68776.334841629 \tabularnewline
V(Y[t],d=1,D=0) & 133307.426691729 & Range & 1461 & Trim Var. & 91449.2196078431 \tabularnewline
V(Y[t],d=2,D=0) & 415380.935064935 & Range & 2665 & Trim Var. & 275994.675918367 \tabularnewline
V(Y[t],d=3,D=0) & 1418877.33670034 & Range & 4793 & Trim Var. & 922130.19302721 \tabularnewline
V(Y[t],d=0,D=1) & 171924.036714976 & Range & 2269 & Trim Var. & 80682.1891025641 \tabularnewline
V(Y[t],d=1,D=1) & 243215.981818182 & Range & 1843 & Trim Var. & 160516.649122807 \tabularnewline
V(Y[t],d=2,D=1) & 762135.206659619 & Range & 3155 & Trim Var. & 523801.229018492 \tabularnewline
V(Y[t],d=3,D=1) & 2676886.12956811 & Range & 5935 & Trim Var. & 1906578.91741742 \tabularnewline
V(Y[t],d=0,D=2) & 502983.547237077 & Range & 3533 & Trim Var. & 251700.202298851 \tabularnewline
V(Y[t],d=1,D=2) & 702589.875 & Range & 3418 & Trim Var. & 455507.02955665 \tabularnewline
V(Y[t],d=2,D=2) & 2235483.35080645 & Range & 5935 & Trim Var. & 1421806.73015873 \tabularnewline
V(Y[t],d=3,D=2) & 7921107.5139785 & Range & 10471 & Trim Var. & 5468075.96866097 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=67659&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]111890.419842710[/C][C]Range[/C][C]1697[/C][C]Trim Var.[/C][C]68776.334841629[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]133307.426691729[/C][C]Range[/C][C]1461[/C][C]Trim Var.[/C][C]91449.2196078431[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]415380.935064935[/C][C]Range[/C][C]2665[/C][C]Trim Var.[/C][C]275994.675918367[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]1418877.33670034[/C][C]Range[/C][C]4793[/C][C]Trim Var.[/C][C]922130.19302721[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]171924.036714976[/C][C]Range[/C][C]2269[/C][C]Trim Var.[/C][C]80682.1891025641[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]243215.981818182[/C][C]Range[/C][C]1843[/C][C]Trim Var.[/C][C]160516.649122807[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]762135.206659619[/C][C]Range[/C][C]3155[/C][C]Trim Var.[/C][C]523801.229018492[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]2676886.12956811[/C][C]Range[/C][C]5935[/C][C]Trim Var.[/C][C]1906578.91741742[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]502983.547237077[/C][C]Range[/C][C]3533[/C][C]Trim Var.[/C][C]251700.202298851[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]702589.875[/C][C]Range[/C][C]3418[/C][C]Trim Var.[/C][C]455507.02955665[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]2235483.35080645[/C][C]Range[/C][C]5935[/C][C]Trim Var.[/C][C]1421806.73015873[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]7921107.5139785[/C][C]Range[/C][C]10471[/C][C]Trim Var.[/C][C]5468075.96866097[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=67659&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67659&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)111890.419842710Range1697Trim Var.68776.334841629
V(Y[t],d=1,D=0)133307.426691729Range1461Trim Var.91449.2196078431
V(Y[t],d=2,D=0)415380.935064935Range2665Trim Var.275994.675918367
V(Y[t],d=3,D=0)1418877.33670034Range4793Trim Var.922130.19302721
V(Y[t],d=0,D=1)171924.036714976Range2269Trim Var.80682.1891025641
V(Y[t],d=1,D=1)243215.981818182Range1843Trim Var.160516.649122807
V(Y[t],d=2,D=1)762135.206659619Range3155Trim Var.523801.229018492
V(Y[t],d=3,D=1)2676886.12956811Range5935Trim Var.1906578.91741742
V(Y[t],d=0,D=2)502983.547237077Range3533Trim Var.251700.202298851
V(Y[t],d=1,D=2)702589.875Range3418Trim Var.455507.02955665
V(Y[t],d=2,D=2)2235483.35080645Range5935Trim Var.1421806.73015873
V(Y[t],d=3,D=2)7921107.5139785Range10471Trim Var.5468075.96866097



Parameters (Session):
par1 = Industriële omzetcijfers volgens BTW ; par2 = ADSEI ; par3 = maandelijkse industriële omzet volgens BTW in België ;
Parameters (R input):
par1 = 12 ;
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(x,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')