Probability and Statistical Inference: Volume 2: Statistical Inference (Springer Texts in Statistics)

Kalbfleisch, J G

ISBN 10: 0387961836 / ISBN 13: 9780387961835

Edité par Springer, 1985

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Gently used. May include previous owner's signature or bookplate on the front endpaper, sticker on back and/or remainder mark on text block. N° de réf. du vendeur 9780387961835-3

Détails bibliographiques

Titre : Probability and Statistical Inference: ...

Éditeur : Springer

Date d'édition : 1985

Reliure : Couverture rigide

Etat : very good

Edition : 2ème Édition

A propos de ce titre

Synopsis :

This book is in two volumes, and is intended as a text for introductory courses in probability and statistics at the second or third year university level. It em- phasizes applications and logical principles rather than mathematical theory. A good background in freshman calculus is sufficient for most of the material presented. Several starred sections have been included as supplementary material. Nearly 900 problems and exercises of varying difficulty are given, and Appendix A contains answers to about one-third of them. The first volume (Chapters 1-8) deals with probability models and with math- ematical methods for describing and manipulating them. It is similar in content and organization to the 1979 edition. Some sections have been rewritten and expanded-for example, the discussions of independent random variables and conditional probability. Many new exercises have been added. In the second volume (Chapters 9-16), probability models are used as the basis for the analysis and interpretation of data. This material has been revised extensively. Chapters 9 and 10 describe the use of the likelihood function in estimation problems, as in the 1979 edition. Chapter 11 then discusses frequency properties of estimation procedures, and introduces coverage probability and confidence intervals. Chapter 12 describes tests of significance, with applications primarily to frequency data. The likelihood ratio statistic is used to unify the material on testing, and connect it with earlier material on estimation.