Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (PDF/EPUB Version)

$18.99

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.

eBook features:

Highlight, take notes, and search in the book
In this edition, page numbers are just like the physical edition
Create digital flashcards instantly

Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (PDF/EPUB Version)

Important: No Access Code

Architecture and Authority in Japan (ISSN) (PDF/EPUB Version)

Compassion Fatigue: How the Media Sell Disease, Famine, War and Death (PDF/EPUB Version)

Early Christian Latin Poets (The Early Church Fathers) (PDF/EPUB Version)

Postdramatic Theatre (PDF/EPUB Version)

Quantitative Equity Portfolio Management: An Active Approach to Portfolio Construction and Management (McGraw-Hill Library of Investment and Finance) (PDF/EPUB Version)

Sun Certified System Administrator for Solaris 10 Study Guide (Exams CX-310-200 & CX-310-202) (Certification Press) (PDF/EPUB Version)

The Emperor Domitian (PDF/EPUB Version)

Urban World/Global City (PDF/EPUB Version)

Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (PDF/EPUB Version)

Important: No Access Code

Related products