Model Selection and Multimodel Inference

Beschreibung

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.
Includes supplementary material: sn.pub/extras

Autor*in

Kenneth P. Burnham

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Estimator Inference Likelihood Model Selection data analysis information theory

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