Unbalanced Analysis of Variance Comparing Standard and Proposed Approximation Techniques for Estimating the Variance Components
Date of Award:
Master of Science (MS)
Mathematics and Statistics
Department name when degree awarded
Ronald V. Canfield
Gregory W. Jones
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.
Pugsley, James P., "Unbalanced Analysis of Variance Comparing Standard and Proposed Approximation Techniques for Estimating the Variance Components" (1984). All Graduate Theses and Dissertations. 7007.
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