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

Good, Phillip

 
9781439855508: A Practitioner’s Guide to Resampling for Data Analysis, Data Mining, and Modeling

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

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).

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9780367382483: A Practitioner’s Guide to Resampling for Data Analysis, Data Mining, and Modeling

Vorgestellte Ausgabe

ISBN 10:  0367382482 ISBN 13:  9780367382483
Verlag: Routledge, 2019
Softcover