【预订】Model Selection and Multimodel Inference 9781441929730 美国库房发货，通常付款后3-5周到货！

Product Details 基本信息 ISBN-13 书号 9781441929730 Format 版本 平装-胶订 Pages Number 页数 488页 Publication Date 出版日期 2010-12-01 Language 语种 英语 Book Contents 内容简介 We wrote this book to introduce graduate students and research workers in various scientic disciplines to the use of information-theoretic approaches in the analysis of empirical data. These methods allow the data-based selection of a “best” model and a ranking and weighting of the remaining models in a pre-de?ned set. Traditional statistical inference can then be based on this selected best model. However, we now emphasize that information-theoretic approaches allow formal inference to be based on more than one model (m- timodel inference). Such procedures lead to more robust inferences in many cases, and we advocate these approaches throughout the book. The second edition was prepared with three goals in mind. First, we have tried to improv

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暂无作者信息 /2010-12-01 /暂无出版社信息

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Burnham, Kenneth P.,Anderson, David R. /2003-12-04 /Springer-Verlag New York Inc.

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Burnham, Kenneth P. /2010-12-01 /Springer

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Burnham, Kenneth P. /2003-12-04 /Springer

海外直订Model Selection and Multi-Model Inference: A Practical I

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Burnham, Kenneth P. /2003-12-04 /Springer