Exact Statistical Methods for Data Analysis

Samaradasa Weerahandi

330 pages, parution le 24/11/2003

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Résumé

Now available in paperback. This book covers some recent developments in statistical inference. The author's main aim is to develop a theory of generalized p-values and generalized confidence intervals and to show how these concepts may be used to make exact statistical inferences in a variety of practical applications. In particular, they provide 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.

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.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Samaradasa Weerahandi
Parution	24/11/2003
Nb. de pages	330
Format	15,5 x 23,5
Couverture	Broché
Poids	490g
Intérieur	Noir et Blanc
EAN13	9780387406213
ISBN13	978-0-387-40621-3