Applied Non-Parametric Statistical Methods, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Sprent, Peter

ISBN 10: 0412449803 / ISBN 13: 9780412449802

Editore: Chapman and Hall/CRC, 1992

Riguardo questo articolo

In shrink wrap. Looks like an interesting title! Codice articolo Q-0412449803

Dati bibliografici

Titolo: Applied Non-Parametric Statistical Methods, ...

Casa editrice: Chapman and Hall/CRC

Data di pubblicazione: 1992

Legatura: Hardcover

Condizione: New

Edizione: seconda edizione

Descrizione articolo

Riassunto:

This new edition of Peter Sprent's highly successful introduction to nonparametric methods retains many features acclaimed by reviewers of the first edition. Basics are simply and carefully explained using many realistic but simple examples. The text has been completely revised to highlight the way modern computer software enables us to carry out exact tests based on permutation distributions where one had previously to resort to asymptotic results in situations where these are now known to be misleading. New methods are introduced in this edition and relationships between inference procedures that may at first sight appear to be unrelated are clearly demonstrated. More attention is given to the analysis of censored data and the sections on analysis of counts and categorical data have been greatly extended. This additional material is relevant to applications in fields as diverse as medicine, the social sciences, industry and market research. This book should be of interest to research workers in industry, pharmaceutical firms, and all who use basic statistical methods. It should also be a useful text for undergraduate students taking university and polytechnic courses.

Contenuti:

Preface. Introducing Nonparametric Methods. Location Tests for Single Samples. Rank Transformations and Other Tests for Single Samples. Methods for Paired Samples. Methods for Two Independent Samples. Three or More Samples. Correlation and Concordance. Regression. Categorical Data. Association in Categorical Data. Robustness. Other Developments. Appendix. Tables for Nonparametric Tests. References. Solutions to Odd-Numbered Exercises. Index.