The Jackknife and Bootstrap (Springer Series in Statistics) 2025 pdf epub mobi 電子書 下載
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The Jackknife and Bootstrap (Springer Series in Statistics) pdf epub mobi 著者簡介
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The Jackknife and bootstrap are the most popular data-resampling methods used in statistical analysis. This book provides a systematic introduction to the theory of the jackknife, bootstrap and other resampling methods that have been developed in the last twenty years. It aims to provide a guide to using these methods which will enable applied statisticians to feel comfortable in applying them to data in their own research. The authors have included examples of applying these methods in various applications in both the independent and identically distributed (iid) case and in more complicated cases with non-iid data sets. Readers are assumed to have a reasonable knowledge of mathematical statistics and so this will be made suitable reading for graduate students, researchers and practitioners seeking a wide-ranging survey of this important area of statistical theory and application.
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發表於2025-01-07
The Jackknife and Bootstrap (Springer Series in Statistics) 2025 pdf epub mobi 電子書 下載
The Jackknife and Bootstrap (Springer Series in Statistics) 2025 pdf epub mobi 電子書 下載
The Jackknife and Bootstrap (Springer Series in Statistics) 2025 pdf epub mobi 電子書 下載
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出版者:Springer
作者:Jun Shao
出品人:
頁數:534
譯者:
出版時間:1996-09-12
價格:USD 119.00
裝幀:Hardcover
isbn號碼:9780387945156
叢書系列:Springer Series in Statistics
圖書標籤:
統計學
數學
jacknife
bootstrap
統計
The Jackknife and Bootstrap (Springer Series in Statistics) 2025 pdf epub mobi 電子書 下載
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The Jackknife and Bootstrap (Springer Series in Statistics) 2025 pdf epub mobi 電子書 下載