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Model Selection and Multimodel Inference

Kenneth P. Burnham, David R. Anderson
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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.
      Format: CONTRIBUTORS: Kenneth P. Burnham, David R. Anderson EAN: 9780387953649 COUNTRY: United States PAGES: WEIGHT: 1990 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2003-12-04 CITY: GENRE: MATHEMATICS / Probability & Statistics / General, MEDICAL / Biostatistics, SCIENCE / Life Sciences / Ecology WIDTH: 155 cm SPINE:

      Book Themes:

      Probability and statistics, Ecological science, the Biosphere

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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.
      Format: CONTRIBUTORS: Kenneth P. Burnham, David R. Anderson EAN: 9780387953649 COUNTRY: United States PAGES: WEIGHT: 1990 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2003-12-04 CITY: GENRE: MATHEMATICS / Probability & Statistics / General, MEDICAL / Biostatistics, SCIENCE / Life Sciences / Ecology WIDTH: 155 cm SPINE:

      Book Themes:

      Probability and statistics, Ecological science, the Biosphere

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      Be the first to write a review
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