FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

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 computationSat, 04 Dec 2010 09:01:14 +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/04/t1291453254it44q55p6pqlo5d.htm/, Retrieved Sun, 05 May 2024 03:25:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=105051, Retrieved Sun, 05 May 2024 03:25:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variance Reduction Matrix] [Unemployment] [2010-11-29 09:29:57] [b98453cac15ba1066b407e146608df68]
F   PD    [Variance Reduction Matrix] [Variance Reductio...] [2010-12-04 09:01:14] [8eb352cba3cf694c3df89d0a436a2f1b] [Current]
Feedback Forum
2010-12-10 19:48:38 [00c625c7d009d84797af914265b614f9] [reply] 
We zien aan de tabel dat D=d=1 de laagste waarde voor getrimde variantie heeft. Dus deze waarden zouden de tijdserie het best stationair maken.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
16198.9
16554.2
19554.2
15903.8
18003.8
18329.6
16260.7
14851.9
18174.1
18406.6
18466.5
16016.5
17428.5
17167.2
19630,00
17183.6
18344.7
19301.4
18147.5
16192.9
18374.4
20515.2
18957.2
16471.5
18746.8
19009.5
19211.2
20547.7
19325.8
20605.5
20056.9
16141.4
20359.8
19711.6
15638.6
14384.5
13855.6
14308.3
15290.6
14423.8
13779.7
15686.3
14733.8
12522.5
16189.4
16059.1
16007.1
15806.8
15160,00
15692.1
18908.9
16969.9
16997.5
19858.9
17681.2

Tables (Output of Computation)





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=105051&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=105051&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105051&T=0

As an alternative you can also use a QR Code:  
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)4076621.41534007Range8083Trim Var.2946115.57968537
V(Y[t],d=1,D=0)3873049.1304717Range8291.4Trim Var.2504511.48517287
V(Y[t],d=2,D=0)10364748.5549419Range14784.3Trim Var.6705927.85763182
V(Y[t],d=3,D=0)30957180.1352489Range25401.3Trim Var.19353480.8663816
V(Y[t],d=0,D=1)8185023.43535991Range10296.5Trim Var.5748193.46813814
V(Y[t],d=1,D=1)2591883.09804878Range6825.2Trim Var.1397061.84514286
V(Y[t],d=2,D=1)7185210.31402439Range12209.9Trim Var.4213571.0967563
V(Y[t],d=3,D=1)24023163.8002821Range21081.8Trim Var.15811316.0290159
V(Y[t],d=0,D=2)29279114.3033333Range18579.8Trim Var.22169052.7230199
V(Y[t],d=1,D=2)6941413.6096092Range12522.2Trim Var.3463746.93206154
V(Y[t],d=2,D=2)19176894.5068719Range17974.9Trim Var.11615207.6550667
V(Y[t],d=3,D=2)65481879.6158069Range30442.5Trim Var.42939730.0710145

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 4076621.41534007 & Range & 8083 & Trim Var. & 2946115.57968537 \tabularnewline
V(Y[t],d=1,D=0) & 3873049.1304717 & Range & 8291.4 & Trim Var. & 2504511.48517287 \tabularnewline
V(Y[t],d=2,D=0) & 10364748.5549419 & Range & 14784.3 & Trim Var. & 6705927.85763182 \tabularnewline
V(Y[t],d=3,D=0) & 30957180.1352489 & Range & 25401.3 & Trim Var. & 19353480.8663816 \tabularnewline
V(Y[t],d=0,D=1) & 8185023.43535991 & Range & 10296.5 & Trim Var. & 5748193.46813814 \tabularnewline
V(Y[t],d=1,D=1) & 2591883.09804878 & Range & 6825.2 & Trim Var. & 1397061.84514286 \tabularnewline
V(Y[t],d=2,D=1) & 7185210.31402439 & Range & 12209.9 & Trim Var. & 4213571.0967563 \tabularnewline
V(Y[t],d=3,D=1) & 24023163.8002821 & Range & 21081.8 & Trim Var. & 15811316.0290159 \tabularnewline
V(Y[t],d=0,D=2) & 29279114.3033333 & Range & 18579.8 & Trim Var. & 22169052.7230199 \tabularnewline
V(Y[t],d=1,D=2) & 6941413.6096092 & Range & 12522.2 & Trim Var. & 3463746.93206154 \tabularnewline
V(Y[t],d=2,D=2) & 19176894.5068719 & Range & 17974.9 & Trim Var. & 11615207.6550667 \tabularnewline
V(Y[t],d=3,D=2) & 65481879.6158069 & Range & 30442.5 & Trim Var. & 42939730.0710145 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105051&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]4076621.41534007[/C][C]Range[/C][C]8083[/C][C]Trim Var.[/C][C]2946115.57968537[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]3873049.1304717[/C][C]Range[/C][C]8291.4[/C][C]Trim Var.[/C][C]2504511.48517287[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]10364748.5549419[/C][C]Range[/C][C]14784.3[/C][C]Trim Var.[/C][C]6705927.85763182[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]30957180.1352489[/C][C]Range[/C][C]25401.3[/C][C]Trim Var.[/C][C]19353480.8663816[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]8185023.43535991[/C][C]Range[/C][C]10296.5[/C][C]Trim Var.[/C][C]5748193.46813814[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]2591883.09804878[/C][C]Range[/C][C]6825.2[/C][C]Trim Var.[/C][C]1397061.84514286[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]7185210.31402439[/C][C]Range[/C][C]12209.9[/C][C]Trim Var.[/C][C]4213571.0967563[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]24023163.8002821[/C][C]Range[/C][C]21081.8[/C][C]Trim Var.[/C][C]15811316.0290159[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]29279114.3033333[/C][C]Range[/C][C]18579.8[/C][C]Trim Var.[/C][C]22169052.7230199[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]6941413.6096092[/C][C]Range[/C][C]12522.2[/C][C]Trim Var.[/C][C]3463746.93206154[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]19176894.5068719[/C][C]Range[/C][C]17974.9[/C][C]Trim Var.[/C][C]11615207.6550667[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]65481879.6158069[/C][C]Range[/C][C]30442.5[/C][C]Trim Var.[/C][C]42939730.0710145[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105051&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105051&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Variance Reduction Matrix
V(Y[t],d=0,D=0)4076621.41534007Range8083Trim Var.2946115.57968537
V(Y[t],d=1,D=0)3873049.1304717Range8291.4Trim Var.2504511.48517287
V(Y[t],d=2,D=0)10364748.5549419Range14784.3Trim Var.6705927.85763182
V(Y[t],d=3,D=0)30957180.1352489Range25401.3Trim Var.19353480.8663816
V(Y[t],d=0,D=1)8185023.43535991Range10296.5Trim Var.5748193.46813814
V(Y[t],d=1,D=1)2591883.09804878Range6825.2Trim Var.1397061.84514286
V(Y[t],d=2,D=1)7185210.31402439Range12209.9Trim Var.4213571.0967563
V(Y[t],d=3,D=1)24023163.8002821Range21081.8Trim Var.15811316.0290159
V(Y[t],d=0,D=2)29279114.3033333Range18579.8Trim Var.22169052.7230199
V(Y[t],d=1,D=2)6941413.6096092Range12522.2Trim Var.3463746.93206154
V(Y[t],d=2,D=2)19176894.5068719Range17974.9Trim Var.11615207.6550667
V(Y[t],d=3,D=2)65481879.6158069Range30442.5Trim Var.42939730.0710145


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 1 ; par3 = 0 ; par4 = 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')