Exact Statistical Methods for Data Analysis

Klappentext

Now available in paperback, this book covers some recent developments in statistical inference. It provides methods applicable in problems involving nuisance parameters such as those encountered in comparing two exponential distributions or in ANOVA without the assumption of equal error variances. The generalized procedures are shown to be more powerful in detecting significant experimental results and in avoiding misleading conclusions.

Inhalt

Preface; Preliminary Notions; Notions in Significance Testing of Hypotheses; Review of Special Distributions; Exact Nonparametric Methods; Generalized p-Values; Generalized Confidence Intervals; Comparing Two Normal Populations; Analysis of Variance; Mixed Models; Regression; Appendix A. Elements of Bayesian Inference; Appendix B. Technical Arguments; Reference; Index.