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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 computationTue, 06 Dec 2011 03:41:26 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/06/t1323160927lhqlu8ixj5bfc86.htm/, Retrieved Sun, 28 Apr 2024 21:04:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=151387, Retrieved Sun, 28 Apr 2024 21:04:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMPD  [(Partial) Autocorrelation Function] [ACF (d=0, D=0)] [2011-12-06 08:00:15] [bcad5ea7a7be31884500e96b7abaff18]
- R P     [(Partial) Autocorrelation Function] [ACF (d=1 en D=0)] [2011-12-06 08:08:10] [bcad5ea7a7be31884500e96b7abaff18]
-   P       [(Partial) Autocorrelation Function] [ACF (d=0, D=1)] [2011-12-06 08:17:43] [bcad5ea7a7be31884500e96b7abaff18]
-   P         [(Partial) Autocorrelation Function] [ACF (d=1, D=1)] [2011-12-06 08:18:59] [bcad5ea7a7be31884500e96b7abaff18]
- RMP           [Spectral Analysis] [CP (d=0, D=0)] [2011-12-06 08:24:51] [bcad5ea7a7be31884500e96b7abaff18]
- R P             [Spectral Analysis] [CP (d=1, D=0)] [2011-12-06 08:27:06] [bcad5ea7a7be31884500e96b7abaff18]
-   P               [Spectral Analysis] [CP (d=0, D=1)] [2011-12-06 08:28:42] [bcad5ea7a7be31884500e96b7abaff18]
- RMP                   [Variance Reduction Matrix] [VRM ] [2011-12-06 08:41:26] [d14d64ba86ecc27fb5997ae1bd82937b] [Current]
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Dataseries X:
2851
2672
2755
2721
2946
3036
2282
2212
2922
4301
5764
7132
2541
2475
3031
3266
3776
3230
3028
1759
3595
4474
6838
8357
3113
3006
4047
3523
3937
3986
3260
1573
3528
5211
7614
9254
5375
3088
3718
4514
4520
4539
3663
1643
4739
5428
8314
10651
3633
4292
4154
4121
4647
4753
3965
1723
5048
6922
9858
11331
4016
3957
4510
4276
4968
4677
3523
1821
5222
6873
10803
13916
2639
2899
3370
3740
2927
3986
4217
1738
5221
6424
9842
13076
3934
3162
4286
4676
5010
4874
4633
1659
5951
6981
9851
12670




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151387&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151387&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151387&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'Herman Ole Andreas Wold' @ wold.wessa.net







Variance Reduction Matrix
V(Y[t],d=0,D=0)6971651.83322368Range12343Trim Var.3710530.52708618
V(Y[t],d=1,D=0)6595618.29608063Range15569Trim Var.2371772.59019608
V(Y[t],d=2,D=0)14034998.676733Range25927Trim Var.4400129.8141136
V(Y[t],d=3,D=0)40713979.5605423Range39500Trim Var.15722232.6459007
V(Y[t],d=0,D=1)628821.17541595Range4626Trim Var.281867.651425398
V(Y[t],d=1,D=1)987231.182486042Range6908Trim Var.377208.24847793
V(Y[t],d=2,D=1)2826237.21228546Range11687Trim Var.1034222.02816901
V(Y[t],d=3,D=1)9231188.73549383Range19720Trim Var.3699104.04708249
V(Y[t],d=0,D=2)1642513.26760563Range8128Trim Var.740769.142857143
V(Y[t],d=1,D=2)3011525.70261569Range10601Trim Var.1266239.02304147
V(Y[t],d=2,D=2)9000931.15031056Range17078Trim Var.4196662.82416711
V(Y[t],d=3,D=2)29681356.2595908Range29823Trim Var.13535392.7486339

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 6971651.83322368 & Range & 12343 & Trim Var. & 3710530.52708618 \tabularnewline
V(Y[t],d=1,D=0) & 6595618.29608063 & Range & 15569 & Trim Var. & 2371772.59019608 \tabularnewline
V(Y[t],d=2,D=0) & 14034998.676733 & Range & 25927 & Trim Var. & 4400129.8141136 \tabularnewline
V(Y[t],d=3,D=0) & 40713979.5605423 & Range & 39500 & Trim Var. & 15722232.6459007 \tabularnewline
V(Y[t],d=0,D=1) & 628821.17541595 & Range & 4626 & Trim Var. & 281867.651425398 \tabularnewline
V(Y[t],d=1,D=1) & 987231.182486042 & Range & 6908 & Trim Var. & 377208.24847793 \tabularnewline
V(Y[t],d=2,D=1) & 2826237.21228546 & Range & 11687 & Trim Var. & 1034222.02816901 \tabularnewline
V(Y[t],d=3,D=1) & 9231188.73549383 & Range & 19720 & Trim Var. & 3699104.04708249 \tabularnewline
V(Y[t],d=0,D=2) & 1642513.26760563 & Range & 8128 & Trim Var. & 740769.142857143 \tabularnewline
V(Y[t],d=1,D=2) & 3011525.70261569 & Range & 10601 & Trim Var. & 1266239.02304147 \tabularnewline
V(Y[t],d=2,D=2) & 9000931.15031056 & Range & 17078 & Trim Var. & 4196662.82416711 \tabularnewline
V(Y[t],d=3,D=2) & 29681356.2595908 & Range & 29823 & Trim Var. & 13535392.7486339 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151387&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]6971651.83322368[/C][C]Range[/C][C]12343[/C][C]Trim Var.[/C][C]3710530.52708618[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]6595618.29608063[/C][C]Range[/C][C]15569[/C][C]Trim Var.[/C][C]2371772.59019608[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]14034998.676733[/C][C]Range[/C][C]25927[/C][C]Trim Var.[/C][C]4400129.8141136[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]40713979.5605423[/C][C]Range[/C][C]39500[/C][C]Trim Var.[/C][C]15722232.6459007[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]628821.17541595[/C][C]Range[/C][C]4626[/C][C]Trim Var.[/C][C]281867.651425398[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]987231.182486042[/C][C]Range[/C][C]6908[/C][C]Trim Var.[/C][C]377208.24847793[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]2826237.21228546[/C][C]Range[/C][C]11687[/C][C]Trim Var.[/C][C]1034222.02816901[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]9231188.73549383[/C][C]Range[/C][C]19720[/C][C]Trim Var.[/C][C]3699104.04708249[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]1642513.26760563[/C][C]Range[/C][C]8128[/C][C]Trim Var.[/C][C]740769.142857143[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]3011525.70261569[/C][C]Range[/C][C]10601[/C][C]Trim Var.[/C][C]1266239.02304147[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]9000931.15031056[/C][C]Range[/C][C]17078[/C][C]Trim Var.[/C][C]4196662.82416711[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]29681356.2595908[/C][C]Range[/C][C]29823[/C][C]Trim Var.[/C][C]13535392.7486339[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151387&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151387&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)6971651.83322368Range12343Trim Var.3710530.52708618
V(Y[t],d=1,D=0)6595618.29608063Range15569Trim Var.2371772.59019608
V(Y[t],d=2,D=0)14034998.676733Range25927Trim Var.4400129.8141136
V(Y[t],d=3,D=0)40713979.5605423Range39500Trim Var.15722232.6459007
V(Y[t],d=0,D=1)628821.17541595Range4626Trim Var.281867.651425398
V(Y[t],d=1,D=1)987231.182486042Range6908Trim Var.377208.24847793
V(Y[t],d=2,D=1)2826237.21228546Range11687Trim Var.1034222.02816901
V(Y[t],d=3,D=1)9231188.73549383Range19720Trim Var.3699104.04708249
V(Y[t],d=0,D=2)1642513.26760563Range8128Trim Var.740769.142857143
V(Y[t],d=1,D=2)3011525.70261569Range10601Trim Var.1266239.02304147
V(Y[t],d=2,D=2)9000931.15031056Range17078Trim Var.4196662.82416711
V(Y[t],d=3,D=2)29681356.2595908Range29823Trim Var.13535392.7486339



Parameters (Session):
par1 = 12 ;
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(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()