دانلود کتاب Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

Name: Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
Availability: InStock
Author: Kenneth P. Burnham
ISBN: 0387953647,9780387953649

by Kenneth P. Burnham, David R. Anderson

عنوان فارسی: انتخاب مدل و استنتاج چند مدلی: یک رویکرد اطلاعاتی-نظری عملی
ناشر: Springer
سال: 2002
ویرایش: 2
زبان: انگلیسی
تعداد صفحه (نسخه چاپی - نسخه الکترونیکی): 514-512
شابک: 0387953647,9780387953649
نوع فایل: PDF دانلود نرم افزار مطالعه
حجم: 3.57 مگابایت

گزارش تخلف

دانلود کتاب

افزودن خلاصه فارسی

جزییات کتاب

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.