Chapter 6 Unbalanced One-Way Classification Model with Skew-Normal Random Effects
This chapter addresses the one-sided hypothesis testing and interval estimation problems for fixed effect and variance component functions are considered in the unbalanced one-way classification model with skew-normal random effects. Firstly, the Bootstrap approach is used to establish test statistic for fixed effect. Secondly, utilizing the matrix decomposition technique, Bootstrap approach and generalized approach, we construct the test statistics and confidence intervals for the single variance component and sum of variance components. Next, the exact test statistic for the ratio of variance components is obtained. The Monte Carlo ...
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