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The test is based on the unequal variance unbalanced design ANOVA scheme.
The developed bivariate Bayesian stochastic search variable selection model allowed for an unbalanced design by imputing residuals in the residual updating scheme for all missing records.
By using the proposed measures, unbalanced design features could be found out and reasonable recommendation could be made based on the evaluation results.
Our analysis shows that although MINQUE is unbiased by construction, it has very large variance particularly for the highly unbalanced design matrices.
Population pharmacokinetic (PopPK) modeling has become increasing important in drug development because it handles unbalanced design, sparse data and the study of individual variation.
The year/area/season stratification procedure was found to be necessary due to the unbalanced design, which otherwise would have factor levels with no data in a large combined model.
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The methodology readily extends to unbalanced designs.
Some recommendations for unbalanced designs are also given.
Our algorithm may be used with analyses of variance test statistics in balanced and unbalanced designs, and with Studentized ranges except in extremely unbalanced designs.
We formulate new test statistics to account for heteroscedasticity and unbalanced designs.
This is the case even with very small datasets, strongly unbalanced designs and non-Gaussian errors.
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