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Bootstrap Methods

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Wiley 作者
Wiley
譯者
2007 出版日期
369 頁數
USD 125.00 價格
Hardcover
叢書系列
9780471756217 圖書編碼

Bootstrap Methods 在線電子書 圖書標籤: 計量經濟學  經濟學  科普  數據處理   


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Bootstrap Methods 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Bootstrap Methods 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Bootstrap Methods 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Bootstrap Methods 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Bootstrap Methods 在線電子書 圖書描述

A practical and accessible introduction to the bootstrap method--newly revised and updated

Over the past decade, the application of bootstrap methods to new areas of study has expanded, resulting in theoretical and applied advances across various fields. Bootstrap Methods, Second Edition is a highly approachable guide to the multidisciplinary, real-world uses of bootstrapping and is ideal for readers who have a professional interest in its methods, but are without an advanced background in mathematics.

Updated to reflect current techniques and the most up-to-date work on the topic, the Second Edition features:

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The addition of a second, extended bibliography devoted solely to publications from 1999-2007, which is a valuable collection of references on the latest research in the field

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A discussion of the new areas of applicability for bootstrap methods, including use in the pharmaceutical industry for estimating individual and population bioequivalence in clinical trials

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A revised chapter on when and why bootstrap fails and remedies for overcoming these drawbacks

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Added coverage on regression, censored data applications, P-value adjustment, ratio estimators, and missing data

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New examples and illustrations as well as extensive historical notes at the end of each chapter

With a strong focus on application, detailed explanations of methodology, and complete coverage of modern developments in the field, Bootstrap Methods, Second Edition is an indispensable reference for applied statisticians, engineers, scientists, clinicians, and other practitioners who regularly use statistical methods in research. It is also suitable as a supplementary text for courses in statistics and resampling methods at the upper-undergraduate and graduate levels.

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