288 Pages
by
Chapman & Hall
288 Pages
by
Chapman & Hall
288 Pages
by
Chapman & Hall
Also available as eBook on:
Illustrating a simple, novel method for solving an array of statistical problems, Observed Confidence Levels: Theory and Application describes the basic development of observed confidence levels, a methodology that can be applied to a variety of common multiple testing problems in statistical inference. It focuses on the modern nonparametric framework of bootstrap-based estimates, allowing for... Read more
Preface. Introduction. Single Parameter Problems. Multiple Parameter Problems. Linear Models and Regression. Nonparametric Smoothing Problems. Further Applications. Connections and Comparisons. Appendix. References. Index.
Biography
Polansky, Alan M.
