Good, Phillip A Practitioner`s Guide to Resampling for Data Analysis, Data Mining, and Modeling 9780367382483

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Автор: Good, Phillip
Название: A Practitioner`s Guide to Resampling for Data Analysis, Data Mining, and Modeling
ISBN: 9780367382483
Издательство: Taylor&Francis
Классификация:

Анализ данных: Общие положения

Вероятность и статистика

Извлечение знаний из данных

ISBN-10: 0367382482
Обложка/Формат: Paperback
Страницы: 224
Вес: 0.41 кг.
Дата издания: 27.09.2019
Язык: English
Размер: 231 x 152 x 13
Читательская аудитория: Postgraduate, research & scholarly
Основная тема: Statistical Computing
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Distribution-free resampling methods--permutation tests, decision trees, and the bootstrap--are used today in virtually every research area. A Practitioners Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap to estimate the precision of sample-based estimates and to determine sample size, data permutations to test hypotheses, and the readily-interpreted decision tree to replace arcane regression methods.

Highlights

Each chapter contains dozens of thought provoking questions, along with applicable R and Stata code

Methods are illustrated with examples from agriculture, audits, bird migration, clinical trials, epidemiology, image processing, immunology, medicine, microarrays and gene selection

Lists of commercially available software for the bootstrap, decision trees, and permutation tests are incorporated in the text

Access to APL, MATLAB, and SC code for many of the routines is provided on the authors website

The text covers estimation, two-sample and k-sample univariate, and multivariate comparisons of means and variances, sample size determination, categorical data, multiple hypotheses, and model building

Statistics practitioners will find the methods described in the text easy to learn and to apply in a broad range of subject areas from A for Accounting, Agriculture, Anthropology, Aquatic science, Archaeology, Astronomy, and Atmospheric science to V for Virology and Vocational Guidance, and Z for Zoology.

Practitioners and research workers and in the biomedical, engineering and social sciences, as well as advanced students in biology, business, dentistry, medicine, psychology, public health, sociology, and statistics will find an easily-grasped guide to estimation, testing hypotheses and model building.

A Practitioner`s Guide to Resampling for Data Analysis, Data Mining, and Modeling, Good, Phillip