Model Selection and Multimodel Inference

Model Selection and Multimodel Inference
Author: Kenneth P. Burnham
Publisher: Springer Science & Business Media
Total Pages: 512
Release: 2007-05-28
Genre: Mathematics
ISBN: 0387224564


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A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data.


Model Selection and Multimodel Inference
Language: en
Pages: 512
Authors: Kenneth P. Burnham
Categories: Mathematics
Type: BOOK - Published: 2007-05-28 - Publisher: Springer Science & Business Media

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A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information
Model Selection and Model Averaging
Language: en
Pages: 312
Authors: Gerda Claeskens
Categories: Mathematics
Type: BOOK - Published: 2008-07-28 - Publisher:

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First book to synthesize the research and practice from the active field of model selection.
Regression and Time Series Model Selection
Language: en
Pages: 479
Authors: Allan D. R. McQuarrie
Categories: Mathematics
Type: BOOK - Published: 1998 - Publisher: World Scientific

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This important book describes procedures for selecting a model from a large set of competing statistical models. It includes model selection techniques for univ
Hypothesis Testing and Model Selection in the Social Sciences
Language: en
Pages: 217
Authors: David L. Weakliem
Categories: Social Science
Type: BOOK - Published: 2016-04-25 - Publisher: Guilford Publications

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Examining the major approaches to hypothesis testing and model selection, this book blends statistical theory with recommendations for practice, illustrated wit
Bayesian Model Selection and Statistical Modeling
Language: en
Pages: 300
Authors: Tomohiro Ando
Categories: Mathematics
Type: BOOK - Published: 2010-05-27 - Publisher: CRC Press

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Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures