Statistical Models and Methods for Lifetime Data 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Statistical Models and Methods for Lifetime Data

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Jerald F.Lawless 作者
譯者
2002-11 出版日期
664 頁數
$152.00 價格
Wiley Series in Probability and Statistics 叢書系列
9780471372158 圖書編碼

Statistical Models and Methods for Lifetime Data 在線電子書 圖書標籤: 數學  2014   


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Statistical Models and Methods for Lifetime Data 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Statistical Models and Methods for Lifetime Data 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Statistical Models and Methods for Lifetime Data 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Statistical Models and Methods for Lifetime Data 在線電子書 著者簡介


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Statistical Models and Methods for Lifetime Data 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Statistical Models and Methods for Lifetime Data 在線電子書 圖書描述

Praise for the First Edition

"An indispensable addition to any serious collection on lifetime data analysis and . . . a valuable contribution to the statistical literature. Highly recommended . . ."

-Choice

"This is an important book, which will appeal to statisticians working on survival analysis problems."

-Biometrics

"A thorough, unified treatment of statistical models and methods used in the analysis of lifetime data . . . this is a highly competent and agreeable statistical textbook."

-Statistics in Medicine

The statistical analysis of lifetime or response time data is a key tool in engineering, medicine, and many other scientific and technological areas. This book provides a unified treatment of the models and statistical methods used to analyze lifetime data.

Equally useful as a reference for individuals interested in the analysis of lifetime data and as a text for advanced students, Statistical Models and Methods for Lifetime Data, Second Edition provides broad coverage of the area without concentrating on any single field of application. Extensive illustrations and examples drawn from engineering and the biomedical sciences provide readers with a clear understanding of key concepts.

New and expanded coverage in this edition includes:

* Observation schemes for lifetime data

* Multiple failure modes

* Counting process-martingale tools

* Both special lifetime data and general optimization software

* Mixture models

* Treatment of interval-censored and truncated data

* Multivariate lifetimes and event history models

* Resampling and simulation methodology

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