Sadanori Konishi, Genshiro Kitagawa

Information Criteria and Statistical Modeling (eBook, PDF)

• Format: PDF

Produktbeschreibung

Statistical modeling is a critical tool in scientific research. Statistical models are used to understand phenomena with uncertainty and to determine the structure of complex systems and to control such systems, as well as to make reliable predictions in various natural and social science fields. This book provides comprehensive explanations of the concepts and philosophy of statistical modeling, together with a wide range of practical and numerical examples. We hope that this book will be of great value not just to statisticians but also to researchers and practitioners in various fields of research such as information science, computer science, engineering, bioinformatics, economics, marketing and environmental science.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 276
• Erscheinungstermin: 12. September 2007
• Englisch
• ISBN-13: 9780387718873
• Artikelnr.: 37286820

Autorenporträt

Statistical modeling is a critical tool in scientific research. Statistical models are used to understand phenomena with uncertainty and to determine the structure of complex systems and to control such systems, as well as to make reliable predictions in various natural and social science fields. This book provides comprehensive explanations of the concepts and philosophy of statistical modeling, together with a wide range of practical and numerical examples. We hope that this book will be of great value not just to statisticians but also to researchers and practitioners in various fields of research such as information science, computer science, engineering, bioinformatics, economics, marketing and environmental science.

Inhaltsangabe

Concept of statistical modeling.- Statistical models.- Information criterion.- Statistical modeling by AIC.- Generalized information criterion GIC.- Statistical modeling by GIC.- Theoretical development and asymptotic properties of the GIC.- Bootstrap information criterion.- Bayesian information criteria.- Various model evaluation criteria.

Rezensionen

From the Reviews:"I was fully satisfied with it. The authors are obviously well-qualified to write on the subject." (Biometrics Book Reviews, 2008)"This book explains the basic ideas of model evaluation and presents the definition and derivation of the AIC and related criteria, including BIC. ... The book makes a major contribution to the understanding of statistical modeling. Researchers interested in statistical modeling will find a lot of interesting material in it."(Erkki P. Liski, International Statistical Reviews, Vol. 76 (2), 2008)"...Modeling is an important and challenging endeavor that permeates nearly all aspects of applied statistics. The validity of inferences, predictions, and conclusions depends on the propriety of the model serving as their basis. Any book that improves the ability of practicing statisticians and biostatisticians to formulate, select and use models is worth its weight in gold. Konishi and Kitagawa have written such a book." (Journal of the American Statistical Association September 2009, Vol. 104, No. 487, Book Reviews)