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Model Selection and Multi-Model Inference
A Practical Information-Theoretic Approach
Buch von Kenneth P Burnham (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Zusammenfassung
Statisticians and applied scientists often must select a model to fit empirical data. This book introduces researchers and graduate students in many areas to an information criterion approach, first introduced by Hirotugu Akaike in 1973. The book will be of general interest, but the emphasis is on applications to the biological sciences.
Inhaltsverzeichnis
Information and Likelihood Theory: A Basis for Model Selection and Inference.- Basic Use of the Information-Theoretic Approach.- Formal Inference From More Than One Model: Multimodel Inference (MMI).- Monte Carlo Insights and Extended Examples.- Advanced Issues and Deeper Insights.- Statistical Theory and Numerical Results.- Summary.
Details
Erscheinungsjahr: 2002
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xxvi
488 S.
ISBN-13: 9780387953649
ISBN-10: 0387953647
Sprache: Englisch
Einband: Gebunden
Autor: Burnham, Kenneth P
Anderson, David R
Auflage: 2nd 2002. Corr. 3rd Printing 2003 edition
Hersteller: Springer New York
Springer US, New York, N.Y.
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 161 x 38 mm
Von/Mit: Kenneth P Burnham (u. a.)
Erscheinungsdatum: 12.07.2002
Gewicht: 0,953 kg
Artikel-ID: 102563775
Zusammenfassung
Statisticians and applied scientists often must select a model to fit empirical data. This book introduces researchers and graduate students in many areas to an information criterion approach, first introduced by Hirotugu Akaike in 1973. The book will be of general interest, but the emphasis is on applications to the biological sciences.
Inhaltsverzeichnis
Information and Likelihood Theory: A Basis for Model Selection and Inference.- Basic Use of the Information-Theoretic Approach.- Formal Inference From More Than One Model: Multimodel Inference (MMI).- Monte Carlo Insights and Extended Examples.- Advanced Issues and Deeper Insights.- Statistical Theory and Numerical Results.- Summary.
Details
Erscheinungsjahr: 2002
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xxvi
488 S.
ISBN-13: 9780387953649
ISBN-10: 0387953647
Sprache: Englisch
Einband: Gebunden
Autor: Burnham, Kenneth P
Anderson, David R
Auflage: 2nd 2002. Corr. 3rd Printing 2003 edition
Hersteller: Springer New York
Springer US, New York, N.Y.
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 161 x 38 mm
Von/Mit: Kenneth P Burnham (u. a.)
Erscheinungsdatum: 12.07.2002
Gewicht: 0,953 kg
Artikel-ID: 102563775
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