Date of Award:
5-1984
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Mathematics and Statistics
Department name when degree awarded
Applied Statistics
Committee Chair(s)
David White
Committee
David White
Committee
Ronald V. Canfield
Committee
Gregory W. Jones
Abstract
This paper considers the estimation of the components of variation for a two-factor unbalanced nested design and compares standard techniques with proposed approximation procedures. Current procedures are complicated and assume the unbalanced sample size to be fixed. This paper tests some simpler techniques, assuming sample sizes are random variables. Monte Carlo techniques were used to generate data for testing of these new procedures.
Checksum
66e8566ed3506117f8a06fd0efd8213b
Recommended Citation
Pugsley, James P., "Unbalanced Analysis of Variance Comparing Standard and Proposed Approximation Techniques for Estimating the Variance Components" (1984). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 7007.
https://digitalcommons.usu.edu/etd/7007
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