Information Criteria and Statistical Modeling

Information Criteria and Statistical Modeling
Author :
Publisher : Springer Science & Business Media
Total Pages : 282
Release :
ISBN-10 : 9780387718866
ISBN-13 : 0387718869
Rating : 4/5 (869 Downloads)

Book Synopsis Information Criteria and Statistical Modeling by : Sadanori Konishi

Download or read book Information Criteria and Statistical Modeling written by Sadanori Konishi and published by Springer Science & Business Media. This book was released on 2008 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Information Criteria and Statistical Modeling Related Books

Information Criteria and Statistical Modeling
Language: en
Pages: 282
Authors: Sadanori Konishi
Categories: Business & Economics
Type: BOOK - Published: 2008 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Statistical modeling is a critical tool in scientific research. This book provides comprehensive explanations of the concepts and philosophy of statistical mode
Bayesian Model Selection and Statistical Modeling
Language: en
Pages: 300
Authors: Tomohiro Ando
Categories: Mathematics
Type: BOOK - Published: 2010-05-27 - Publisher: CRC Press

DOWNLOAD EBOOK

Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures
Statistical Rethinking
Language: en
Pages: 488
Authors: Richard McElreath
Categories: Mathematics
Type: BOOK - Published: 2018-01-03 - Publisher: CRC Press

DOWNLOAD EBOOK

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need
From Data to Model
Language: en
Pages: 254
Authors: Jan C. Willems
Categories: Business & Economics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The problem of obtaining dynamical models directly from an observed time-series occurs in many fields of application. There are a number of possible approaches
Regression and Time Series Model Selection
Language: en
Pages: 479
Authors: Allan D. R. McQuarrie
Categories: Mathematics
Type: BOOK - Published: 1998 - Publisher: World Scientific

DOWNLOAD EBOOK

This important book describes procedures for selecting a model from a large set of competing statistical models. It includes model selection techniques for univ