A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling

Name: A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling
Brand: Chapman and Hall/CRC
Availability: OutOfStock
Rating: 5 (1 reviews)

By Phillip Good

0 - Default Title

Description

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, especially in the areas of microarrays and data mining. Each chapter contains a wealth of exercises along with R and Stata code. Written by a leading authority in the field, the text covers such topics as estimation, the bootstrap method, multivariate tests, decision trees, categorical data, multiple hypotheses, and model building.

Product details

Edition:

illustrated

Number of Pages:

226

Release Date:

2011-08-25

Publication Date:

2011-08-25

Publisher:

Chapman and Hall/CRC

Languages:

Original: English

ISBN10:

1439855501

ISBN13:

9781439855508

Weight:

508 g

Height:

161 cm

Width:

240 cm

Thickness:

17 cm

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