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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 computationFri, 05 Dec 2008 09:55:48 -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/2008/Dec/05/t1228496794wzwp8ogap6e52ux.htm/, Retrieved Thu, 16 May 2024 10:09:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29345, Retrieved Thu, 16 May 2024 10:09:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact173
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variance Reduction Matrix] [Non Stationary Ti...] [2008-12-05 16:55:48] [4b953869c7238aca4b6e0cfb0c5cddd6] [Current]
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Dataseries X:
97.4
97.0
105.4
102.7
98.1
104.5
87.4
89.9
109.8
111.7
98.6
96.9
95.1
97.0
112.7
102.9
97.4
111.4
87.4
96.8
114.1
110.3
103.9
101.6
94.6
95.9
104.7
102.8
98.1
113.9
80.9
95.7
113.2
105.9
108.8
102.3
99.0
100.7
115.5
100.7
109.9
114.6
85.4
100.5
114.8
116.5
112.9
102.0
106.0
105.3
118.8
106.1
109.3
117.2
92.5
104.2
112.5
122.4
113.3
100.0
110.7
112.8
109.8
117.3
109.1
115.9
95.7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29345&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29345&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29345&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'George Udny Yule' @ 72.249.76.132







Variance Reduction Matrix
V(Y[t],d=0,D=0)79.3207191316146Range41.5Trim Var.49.5590531852718
V(Y[t],d=1,D=0)138.844095571096Range52.9Trim Var.81.0555747126437
V(Y[t],d=2,D=0)374.344822115385Range96.6Trim Var.200.440889724311
V(Y[t],d=3,D=0)1145.59610119048Range165.9Trim Var.625.26212987013
V(Y[t],d=0,D=1)20.4650370370370Range20.8Trim Var.11.5049064625850
V(Y[t],d=1,D=1)48.7084870719776Range36.7Trim Var.28.2037189716312
V(Y[t],d=2,D=1)161.080166908563Range68.3Trim Var.88.9797409805735
V(Y[t],d=3,D=1)560.881432880845Range124.3Trim Var.299.950589371981
V(Y[t],d=0,D=2)45.606788482835Range34.1Trim Var.18.6450900900901
V(Y[t],d=1,D=2)90.1325958188153Range38.9Trim Var.52.5745000000001
V(Y[t],d=2,D=2)304.953621951220Range69.1Trim Var.165.174907563025
V(Y[t],d=3,D=2)1103.42092307692Range129Trim Var.766.703873015873

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 79.3207191316146 & Range & 41.5 & Trim Var. & 49.5590531852718 \tabularnewline
V(Y[t],d=1,D=0) & 138.844095571096 & Range & 52.9 & Trim Var. & 81.0555747126437 \tabularnewline
V(Y[t],d=2,D=0) & 374.344822115385 & Range & 96.6 & Trim Var. & 200.440889724311 \tabularnewline
V(Y[t],d=3,D=0) & 1145.59610119048 & Range & 165.9 & Trim Var. & 625.26212987013 \tabularnewline
V(Y[t],d=0,D=1) & 20.4650370370370 & Range & 20.8 & Trim Var. & 11.5049064625850 \tabularnewline
V(Y[t],d=1,D=1) & 48.7084870719776 & Range & 36.7 & Trim Var. & 28.2037189716312 \tabularnewline
V(Y[t],d=2,D=1) & 161.080166908563 & Range & 68.3 & Trim Var. & 88.9797409805735 \tabularnewline
V(Y[t],d=3,D=1) & 560.881432880845 & Range & 124.3 & Trim Var. & 299.950589371981 \tabularnewline
V(Y[t],d=0,D=2) & 45.606788482835 & Range & 34.1 & Trim Var. & 18.6450900900901 \tabularnewline
V(Y[t],d=1,D=2) & 90.1325958188153 & Range & 38.9 & Trim Var. & 52.5745000000001 \tabularnewline
V(Y[t],d=2,D=2) & 304.953621951220 & Range & 69.1 & Trim Var. & 165.174907563025 \tabularnewline
V(Y[t],d=3,D=2) & 1103.42092307692 & Range & 129 & Trim Var. & 766.703873015873 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29345&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]79.3207191316146[/C][C]Range[/C][C]41.5[/C][C]Trim Var.[/C][C]49.5590531852718[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]138.844095571096[/C][C]Range[/C][C]52.9[/C][C]Trim Var.[/C][C]81.0555747126437[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]374.344822115385[/C][C]Range[/C][C]96.6[/C][C]Trim Var.[/C][C]200.440889724311[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]1145.59610119048[/C][C]Range[/C][C]165.9[/C][C]Trim Var.[/C][C]625.26212987013[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]20.4650370370370[/C][C]Range[/C][C]20.8[/C][C]Trim Var.[/C][C]11.5049064625850[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]48.7084870719776[/C][C]Range[/C][C]36.7[/C][C]Trim Var.[/C][C]28.2037189716312[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]161.080166908563[/C][C]Range[/C][C]68.3[/C][C]Trim Var.[/C][C]88.9797409805735[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]560.881432880845[/C][C]Range[/C][C]124.3[/C][C]Trim Var.[/C][C]299.950589371981[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]45.606788482835[/C][C]Range[/C][C]34.1[/C][C]Trim Var.[/C][C]18.6450900900901[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]90.1325958188153[/C][C]Range[/C][C]38.9[/C][C]Trim Var.[/C][C]52.5745000000001[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]304.953621951220[/C][C]Range[/C][C]69.1[/C][C]Trim Var.[/C][C]165.174907563025[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]1103.42092307692[/C][C]Range[/C][C]129[/C][C]Trim Var.[/C][C]766.703873015873[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29345&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29345&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)79.3207191316146Range41.5Trim Var.49.5590531852718
V(Y[t],d=1,D=0)138.844095571096Range52.9Trim Var.81.0555747126437
V(Y[t],d=2,D=0)374.344822115385Range96.6Trim Var.200.440889724311
V(Y[t],d=3,D=0)1145.59610119048Range165.9Trim Var.625.26212987013
V(Y[t],d=0,D=1)20.4650370370370Range20.8Trim Var.11.5049064625850
V(Y[t],d=1,D=1)48.7084870719776Range36.7Trim Var.28.2037189716312
V(Y[t],d=2,D=1)161.080166908563Range68.3Trim Var.88.9797409805735
V(Y[t],d=3,D=1)560.881432880845Range124.3Trim Var.299.950589371981
V(Y[t],d=0,D=2)45.606788482835Range34.1Trim Var.18.6450900900901
V(Y[t],d=1,D=2)90.1325958188153Range38.9Trim Var.52.5745000000001
V(Y[t],d=2,D=2)304.953621951220Range69.1Trim Var.165.174907563025
V(Y[t],d=3,D=2)1103.42092307692Range129Trim Var.766.703873015873



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(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')