SAS Macros for Analysis of Unreplicated 2^k and 2^(k-p) Designs with a Possible Outlier

Many techniques have been proposed for judging the significance of effects in unreplicated 2^k and 2^(k-p) designs. However, relatively few methods have been proposed for analyzing unreplicated designs with possible outliers. Outliers can be a major impediment to valid interpretation of data from un...

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Main Author:	John Lawson
Format:	Article
Language:	English
Published:	Foundation for Open Access Statistics 2008-03-01
Series:	Journal of Statistical Software
Subjects:	normal plot of eﬀects half normal plot of eﬀects SAS
Online Access:	http://www.jstatsoft.org/v25/i13/paper

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spelling	doaj-54dff0cd575241c592ace76f06b724912020-11-25T00:00:51ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602008-03-012513SAS Macros for Analysis of Unreplicated 2^k and 2^(k-p) Designs with a Possible OutlierJohn LawsonMany techniques have been proposed for judging the significance of effects in unreplicated 2^k and 2^(k-p) designs. However, relatively few methods have been proposed for analyzing unreplicated designs with possible outliers. Outliers can be a major impediment to valid interpretation of data from unreplicated designs. This paper presents SAS macros which automate a manual method for detecting an outlier and performing an analysis of data from an unreplicated 2^k and 2^(k-p) design when an outlier is present. This method was originally suggested by Cuthbert Daniel and is based on the normal or half normal plot of effects. This automated version was shown in simulation studies to perform better than other procedures proposed to do the same thing.http://www.jstatsoft.org/v25/i13/papernormal plot of eﬀectshalf normal plot of eﬀectsSAS
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	John Lawson
spellingShingle	John Lawson SAS Macros for Analysis of Unreplicated 2^k and 2^(k-p) Designs with a Possible Outlier Journal of Statistical Software normal plot of eﬀects half normal plot of eﬀects SAS
author_facet	John Lawson
author_sort	John Lawson
title	SAS Macros for Analysis of Unreplicated 2^k and 2^(k-p) Designs with a Possible Outlier
title_short	SAS Macros for Analysis of Unreplicated 2^k and 2^(k-p) Designs with a Possible Outlier
title_full	SAS Macros for Analysis of Unreplicated 2^k and 2^(k-p) Designs with a Possible Outlier
title_fullStr	SAS Macros for Analysis of Unreplicated 2^k and 2^(k-p) Designs with a Possible Outlier
title_full_unstemmed	SAS Macros for Analysis of Unreplicated 2^k and 2^(k-p) Designs with a Possible Outlier
title_sort	sas macros for analysis of unreplicated 2^k and 2^(k-p) designs with a possible outlier
publisher	Foundation for Open Access Statistics
series	Journal of Statistical Software
issn	1548-7660
publishDate	2008-03-01
description	Many techniques have been proposed for judging the significance of effects in unreplicated 2^k and 2^(k-p) designs. However, relatively few methods have been proposed for analyzing unreplicated designs with possible outliers. Outliers can be a major impediment to valid interpretation of data from unreplicated designs. This paper presents SAS macros which automate a manual method for detecting an outlier and performing an analysis of data from an unreplicated 2^k and 2^(k-p) design when an outlier is present. This method was originally suggested by Cuthbert Daniel and is based on the normal or half normal plot of effects. This automated version was shown in simulation studies to perform better than other procedures proposed to do the same thing.
topic	normal plot of eﬀects half normal plot of eﬀects SAS
url	http://www.jstatsoft.org/v25/i13/paper
work_keys_str_mv	AT johnlawson sasmacrosforanalysisofunreplicated2kand2kpdesignswithapossibleoutlier
_version_	1725443053125107712

SAS Macros for Analysis of Unreplicated 2^k and 2^(k-p) Designs with a Possible Outlier

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