1 - 4 of 4 Chapters
[In this chapter, we give a brief introduction to the Behrens–Fisher problem. An outline of the rest of the chapters is also provided. Since randomly incomplete data is considered in the rest of the chapters, we thereafter clarify the idea of “missing at random (MAR)” and “missing completely at...
[In this chapter we compare and contrast three approaches for testing multivariate normality. These are, namely, Mardia’s skewness and kurtosis statistics and the Henze–Zirkler statistic. Type I errors and power are demonstrated using simulations in both the complete-data and the...
[In this chapter, we present two approaches for testing equality of covariance matrices. In the complete-data case, Box’s M method is presented. The Type I errors and power of Box’s M method are presented. In the randomly-incomplete-data case, a new method is proposed. This method uses the False...
[In this chapter, we introduce three fiducial approaches to heteroscedastic ANOVA and MANOVA. The first approach is that of Li et al. (2011) which was proposed for ANOVA but can be easily generalized to MANOVA. The second approach is that implicit in Behrens (Landw. Jb. 68, 807–837, 1929) paper....
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