Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*Unverified author*

R Software Module

rwasp_variancereduction.wasp

Title produced by software

Variance Reduction Matrix

Date of computation

Sat, 06 Dec 2008 02:37:34 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/06/t1228556313l2xbclqk0o2lmen.htm/, Retrieved Sat, 26 Apr 2025 04:36:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29446, Retrieved Sat, 26 Apr 2025 04:36:29 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

248

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]
F RMP     [Variance Reduction Matrix] [Variance Reductio...] [2008-12-06 09:37:34] [d41d8cd98f00b204e9800998ecf8427e] [Current]

Feedback Forum

2008-12-16 21:23:58 [Anouk Greeve] [reply] 
De variance reduction matrix is nodig om een tijdreeks stationair te maken. Het Het is de bedoeling hier de differentiatie methode met de kleinste variantie uit te halen, zo kunnen we nl het meest everklaren. We kunnen besluiten dat bij een differentiatie methode d = 1 en D = 1 de kleinste variantie geeft. Het is ook belangrijk dat men rekening houdt met de getrimde variantie, want deze kan verschillen met de gewone variantie door aanwezigheid van outliers. De student maakte dus een correcte berekening en een juiste interpretatie. 

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29446&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29446&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29446&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

Variance Reduction Matrix
V(Y[t],d=0,D=0)	24040.7319917109	Range	708.9	Trim Var.	14891.1423067379
V(Y[t],d=1,D=0)	1855.27831616522	Range	306.2	Trim Var.	1019.21726473461
V(Y[t],d=2,D=0)	3601.51571083278	Range	388.2	Trim Var.	1764.07169175190
V(Y[t],d=3,D=0)	10155.4683153647	Range	595.5	Trim Var.	5250.86267655406
V(Y[t],d=0,D=1)	10061.5318845559	Range	585.7	Trim Var.	5798.12009737033
V(Y[t],d=1,D=1)	795.483036989776	Range	221.9	Trim Var.	451.063415764475
V(Y[t],d=2,D=1)	1251.20020977106	Range	223.4	Trim Var.	751.938251968809
V(Y[t],d=3,D=1)	3933.17493248985	Range	389.7	Trim Var.	2351.74535475078
V(Y[t],d=0,D=2)	23022.65043915	Range	819	Trim Var.	13637.4877562041
V(Y[t],d=1,D=2)	2352.87163598807	Range	333.6	Trim Var.	1332.90434353283
V(Y[t],d=2,D=2)	3506.43060400436	Range	407	Trim Var.	2059.39114521349
V(Y[t],d=3,D=2)	10920.6579647792	Range	659.1	Trim Var.	6490.07402051023

\begin{tabular}{lllllllll}
\hline
Variance Reduction Matrix \tabularnewline
V(Y[t],d=0,D=0) & 24040.7319917109 & Range & 708.9 & Trim Var. & 14891.1423067379 \tabularnewline
V(Y[t],d=1,D=0) & 1855.27831616522 & Range & 306.2 & Trim Var. & 1019.21726473461 \tabularnewline
V(Y[t],d=2,D=0) & 3601.51571083278 & Range & 388.2 & Trim Var. & 1764.07169175190 \tabularnewline
V(Y[t],d=3,D=0) & 10155.4683153647 & Range & 595.5 & Trim Var. & 5250.86267655406 \tabularnewline
V(Y[t],d=0,D=1) & 10061.5318845559 & Range & 585.7 & Trim Var. & 5798.12009737033 \tabularnewline
V(Y[t],d=1,D=1) & 795.483036989776 & Range & 221.9 & Trim Var. & 451.063415764475 \tabularnewline
V(Y[t],d=2,D=1) & 1251.20020977106 & Range & 223.4 & Trim Var. & 751.938251968809 \tabularnewline
V(Y[t],d=3,D=1) & 3933.17493248985 & Range & 389.7 & Trim Var. & 2351.74535475078 \tabularnewline
V(Y[t],d=0,D=2) & 23022.65043915 & Range & 819 & Trim Var. & 13637.4877562041 \tabularnewline
V(Y[t],d=1,D=2) & 2352.87163598807 & Range & 333.6 & Trim Var. & 1332.90434353283 \tabularnewline
V(Y[t],d=2,D=2) & 3506.43060400436 & Range & 407 & Trim Var. & 2059.39114521349 \tabularnewline
V(Y[t],d=3,D=2) & 10920.6579647792 & Range & 659.1 & Trim Var. & 6490.07402051023 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29446&T=1

[TABLE]
[ROW][C]Variance Reduction Matrix[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=0)[/C][C]24040.7319917109[/C][C]Range[/C][C]708.9[/C][C]Trim Var.[/C][C]14891.1423067379[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=0)[/C][C]1855.27831616522[/C][C]Range[/C][C]306.2[/C][C]Trim Var.[/C][C]1019.21726473461[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=0)[/C][C]3601.51571083278[/C][C]Range[/C][C]388.2[/C][C]Trim Var.[/C][C]1764.07169175190[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=0)[/C][C]10155.4683153647[/C][C]Range[/C][C]595.5[/C][C]Trim Var.[/C][C]5250.86267655406[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=1)[/C][C]10061.5318845559[/C][C]Range[/C][C]585.7[/C][C]Trim Var.[/C][C]5798.12009737033[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=1)[/C][C]795.483036989776[/C][C]Range[/C][C]221.9[/C][C]Trim Var.[/C][C]451.063415764475[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=1)[/C][C]1251.20020977106[/C][C]Range[/C][C]223.4[/C][C]Trim Var.[/C][C]751.938251968809[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=1)[/C][C]3933.17493248985[/C][C]Range[/C][C]389.7[/C][C]Trim Var.[/C][C]2351.74535475078[/C][/ROW]
[ROW][C]V(Y[t],d=0,D=2)[/C][C]23022.65043915[/C][C]Range[/C][C]819[/C][C]Trim Var.[/C][C]13637.4877562041[/C][/ROW]
[ROW][C]V(Y[t],d=1,D=2)[/C][C]2352.87163598807[/C][C]Range[/C][C]333.6[/C][C]Trim Var.[/C][C]1332.90434353283[/C][/ROW]
[ROW][C]V(Y[t],d=2,D=2)[/C][C]3506.43060400436[/C][C]Range[/C][C]407[/C][C]Trim Var.[/C][C]2059.39114521349[/C][/ROW]
[ROW][C]V(Y[t],d=3,D=2)[/C][C]10920.6579647792[/C][C]Range[/C][C]659.1[/C][C]Trim Var.[/C][C]6490.07402051023[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29446&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29446&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)	24040.7319917109	Range	708.9	Trim Var.	14891.1423067379
V(Y[t],d=1,D=0)	1855.27831616522	Range	306.2	Trim Var.	1019.21726473461
V(Y[t],d=2,D=0)	3601.51571083278	Range	388.2	Trim Var.	1764.07169175190
V(Y[t],d=3,D=0)	10155.4683153647	Range	595.5	Trim Var.	5250.86267655406
V(Y[t],d=0,D=1)	10061.5318845559	Range	585.7	Trim Var.	5798.12009737033
V(Y[t],d=1,D=1)	795.483036989776	Range	221.9	Trim Var.	451.063415764475
V(Y[t],d=2,D=1)	1251.20020977106	Range	223.4	Trim Var.	751.938251968809
V(Y[t],d=3,D=1)	3933.17493248985	Range	389.7	Trim Var.	2351.74535475078
V(Y[t],d=0,D=2)	23022.65043915	Range	819	Trim Var.	13637.4877562041
V(Y[t],d=1,D=2)	2352.87163598807	Range	333.6	Trim Var.	1332.90434353283
V(Y[t],d=2,D=2)	3506.43060400436	Range	407	Trim Var.	2059.39114521349
V(Y[t],d=3,D=2)	10920.6579647792	Range	659.1	Trim Var.	6490.07402051023

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code