Resampling Methods: A Practical Guide to Data Analysis

Good, Phillip I.

ISBN 10: 0817643869 / ISBN 13: 9780817643867

Edité par Birkhäuser, 2005

A propos de cet article

N° de réf. du vendeur I-9780817643867

Détails bibliographiques

• Titre: Resampling Methods: A Practical Guide to Data Analysis
• Éditeur: Birkhäuser
• Date de parution: 2005
• Langue: anglais
• ISBN à 10 chiffres: 0817643869
• ISBN à 13 chiffres: 9780817643867
• Reliure: Couverture rigide
• Édition: 3ème Édition
• État de l'article: New

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Synopsis

This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware.

New to the third edition are additional program listings and screen shots of C++, CART, Blossom, Box Sampler (an Excel add-in), EViews, MATLAB, R, Resampling Stats, SAS macros, S-Plus, Stata, or StatXact, which accompany each resampling procedure. A glossary and solutions to selected exercises have also been added. With its accessible style and intuitive topic development, the book is an excellent basic resource for the power, simplicity, and versatility of resampling methods. It is an essential resource for statisticians, biostatisticians, statistical consultants, students, and research professionals in the biological, physical, and social sciences, engineering, and technology.