Resampling Methods: A Practical Guide to Data Analysis - Tapa dura

Good, Philip I.

 
9780817640910: Resampling Methods: A Practical Guide to Data Analysis

Sinopsis

The aim of this volume is to introduce statistical methodology-estimation, hypothesis, testing and classification to a wide audience through resampling from existing data via the bootstrap, and estimation or cross-validation methods.

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Reseña del editor

The aim of this volume is to introduce statistical methodology-estimation, hypothesis, testing and classification to a wide audience through resampling from existing data via the bootstrap, and estimation or cross-validation methods.

Reseña del editor

This is practical guide to data analysis using the boot-strap, cross-validation, and permutation tests. With its accessible style, the book is an excellent resource and guide to the power, simplicity, and versatility of these resampling methods.

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