Inclou referències bibliogràfiques (p. [255]-267) i índex ([269]p.-273)

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.

Statistical modeling is a critical tool in scientific research. This book provides comprehensive explanations of the concepts and philosophy of statistical modeling, together with a wide range of practical and numerical examples. The authors expect this work to 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. It’s a crucial area of study, as statistical models are used to understand phenomena with uncertainty and to determine the structure of complex systems. They’re also used to control such systems, as well as to make reliable predictions in various natural and social science fields.