A Practitioner’s Guide to Resampling for Data Analysis, Data Mining, and Modeling - Couverture souple

Good, Phillip

Couverture souple

ISBN 10 : 0367382482 ISBN 13 : 9780367382483

Editeur : Routledge, 2019

Synopsis

Resampling methods-techniques for repeatedly resampling data to obtain results-are being used in virtually every research area. This practical guide discusses the applications of these methods in a wide variety of subject areas. Each chapter contains a wealth of examples along with R and Stata code for implementing the techniques. Written by a leading authority in the field, the text covers estimation, two-sample and k-sample univariate, and multivariate comparisons of means and variances, sample size determination, categorical data analysis, multiple hypotheses, and model building.

A propos du livre

À propos de l?auteur

Phillip Good is the author of 18 novels, 625 popular articles in magazines and newspapers, scholarly articles in the fields of astrophysics, biology, biostatistics, computer science, probability, and statistics, and nine statistical texts including Applying Statistics in the Courtroom: A New Approach for Attorneys and Expert Witnesses, Chapman Hall, London, 2001. ISBN 1-58488-271-9, and Managers' Guide to the Design and Conduct of Clinical Trials, Wiley, NY, 2002 (2nd edition, 2006).

Détails de l'édition

• Éditeur: Routledge
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 0367382482
• ISBN 13: 9780367382483
• Reliure: Broché
• Nombre de pages: 224
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible