Analysis of Incomplete Multivariate Data 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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J.L. Schafer 作者

Chapman and Hall/CRC

译者

1997-8-1 出版日期

444 页数

GBP 98.99 价格

Hardcover

丛书系列

9780412040610 图书编码

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Analysis of Incomplete Multivariate Data 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms.All techniques are illustrated with real data examples, with extended discussion and practical advice. All of the algorithms described in this book have been implemented by the author for general use in the statistical languages S and S Plus. The software is available free of charge on the Internet.

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