Confidence intervals on individual variances in two-way models

Approximate confidence bounds on individual variances for unbalanced two-way crossed models are obtained. A simulation study was done to check the effectiveness of the approximate bounds, and to compare the proposed bounds with the cell mean procedure proposed by Srinivasan from the Colorado State U...

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Bibliographic Details
Published inComputational statistics & data analysis Vol. 14; no. 1; pp. 29 - 37
Main Authors Kazempour, M.K., Graybill, Franklin A.
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 1992
Elsevier Science
Elsevier
SeriesComputational Statistics & Data Analysis
Subjects
Balanced incomplete block
Confidence bounds
Exact sciences and technology
Linear inference, regression
Mathematics
Missing cell
Probability and statistics
Sciences and techniques of general use
Statistics
Unbalanced model
Missing cell
Balanced incomplete block
Confidence bounds
Unbalanced model
Confidence limit
Incomplete block design
Unbalanced design
Statistical simulation
Variance composent
Two way analysis of variance
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Summary:Approximate confidence bounds on individual variances for unbalanced two-way crossed models are obtained. A simulation study was done to check the effectiveness of the approximate bounds, and to compare the proposed bounds with the cell mean procedure proposed by Srinivasan from the Colorado State Un. in her Ph.D. Thesis. Balanced incomplete block (BIB) designs are used as a special case of designs with empty cells, and confidence bounds on the variances are constructed for various design configurations.
ISSN:0167-9473
1872-7352
DOI:10.1016/0167-9473(92)90079-U