Model Selection and Multimodel Inference

Name: Model Selection and Multimodel Inference
Brand: Springer-Verlag New York Inc.
SKU: 9781441929730
Price: 4425 CZK
Availability: InStock

A Practical Information-Theoretic Approach

Autor: Kenneth P. Burnham, David R. Anderson

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele

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A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the...

Informace o knize

Autor

Kenneth P. Burnham, David R. Anderson

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2010

Stránek

488

EAN

9781441929730

ISBN

1441929738

Enbook ID

01999174

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

742

Rozměry

157 x 232 x 27

Kompletní popis

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.

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Model Selection and Multimodel Inference

A Practical Information-Theoretic Approach

Informace o knize

Kompletní popis

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také