{"product_id":"model-selection-and-multimodel-inference-a-practical-informationtheoretic-approach-9780387953649","title":"Model Selection and Multimodel Inference A","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eA 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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction * 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: Multi-Model Inference (MMI) *  Monte Carlo Insights and Extended Examples * Statistical Theory and Numerical Results * Summary","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":51018098803031,"sku":"9780387953649","price":143.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780387953649.jpg?v=1750775621","url":"https:\/\/bookcurl.com\/products\/model-selection-and-multimodel-inference-a-practical-informationtheoretic-approach-9780387953649","provider":"Book Curl","version":"1.0","type":"link"}