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Analysis of Covariance For Repeated Measures Design with Missing Observations

analysis of covariance might be one of the most miS4nderstood and inadequately taught of all applied statistical methods. Many methods books do not deQl with it at all (Cullman et. aI., 1982), or sparingly (Brownlee, J965), and most of those that treat it substantially, such as Federer (1955), Sn...

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Main Authors: Alwi, Ahmad, Monlezun, C. J.
Format: Article
Language:English
English
Published: 1986
Online Access:http://psasir.upm.edu.my/id/eprint/2328/1/Analysis_of_Covariance_For_Repeated_Measures_Design.pdf
http://psasir.upm.edu.my/id/eprint/2328/
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spelling my.upm.eprints.23282014-08-25T08:13:12Z http://psasir.upm.edu.my/id/eprint/2328/ Analysis of Covariance For Repeated Measures Design with Missing Observations Alwi, Ahmad Monlezun, C. J. analysis of covariance might be one of the most miS4nderstood and inadequately taught of all applied statistical methods. Many methods books do not deQl with it at all (Cullman et. aI., 1982), or sparingly (Brownlee, J965), and most of those that treat it substantially, such as Federer (1955), Snedecor and Cochran (J 980), Steel and Torrie (1980), and Winer (1971), concentrate on balanced data, namely those which have equal numbers of observations in the subclasses. What happens if the data are not balanced and moreover if some of the observations are missing? The missing observations complicate computations and affect what is estimable. The analysis of covariance would become more complex. The application of geometry in the analysis of covariance may of fer an understanding of the analysis as well as broaden the variety of methods that can be considered. When there are no missing observations on the repeated measures Factor(s) , computational algorithms can be used (see Henderson and Henderson, 1979). 1986 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/2328/1/Analysis_of_Covariance_For_Repeated_Measures_Design.pdf Alwi, Ahmad and Monlezun, C. J. (1986) Analysis of Covariance For Repeated Measures Design with Missing Observations. Pertanika, 9 (1). pp. 1-5. English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description analysis of covariance might be one of the most miS4nderstood and inadequately taught of all applied statistical methods. Many methods books do not deQl with it at all (Cullman et. aI., 1982), or sparingly (Brownlee, J965), and most of those that treat it substantially, such as Federer (1955), Snedecor and Cochran (J 980), Steel and Torrie (1980), and Winer (1971), concentrate on balanced data, namely those which have equal numbers of observations in the subclasses. What happens if the data are not balanced and moreover if some of the observations are missing? The missing observations complicate computations and affect what is estimable. The analysis of covariance would become more complex. The application of geometry in the analysis of covariance may of fer an understanding of the analysis as well as broaden the variety of methods that can be considered. When there are no missing observations on the repeated measures Factor(s) , computational algorithms can be used (see Henderson and Henderson, 1979).
format Article
author Alwi, Ahmad
Monlezun, C. J.
spellingShingle Alwi, Ahmad
Monlezun, C. J.
Analysis of Covariance For Repeated Measures Design with Missing Observations
author_facet Alwi, Ahmad
Monlezun, C. J.
author_sort Alwi, Ahmad
title Analysis of Covariance For Repeated Measures Design with Missing Observations
title_short Analysis of Covariance For Repeated Measures Design with Missing Observations
title_full Analysis of Covariance For Repeated Measures Design with Missing Observations
title_fullStr Analysis of Covariance For Repeated Measures Design with Missing Observations
title_full_unstemmed Analysis of Covariance For Repeated Measures Design with Missing Observations
title_sort analysis of covariance for repeated measures design with missing observations
publishDate 1986
url http://psasir.upm.edu.my/id/eprint/2328/1/Analysis_of_Covariance_For_Repeated_Measures_Design.pdf
http://psasir.upm.edu.my/id/eprint/2328/
_version_ 1643822285905199104
score 13.211869

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