| 书目名称 | Parametric Statistical Change Point Analysis | | 副标题 | With Applications to | | 编辑 | Jie Chen,Arjun K. Gupta | | 视频video | http://file.papertrans.cn/742/741174/741174.mp4 | | 概述 | Covers change point problems having applications in economics, finance, medicine, and molecular biology.Clear and systematic exposition with a great deal of introductory material included.Extensive ex | | 图书封面 |  | | 描述 | .This revised and expanded second edition is an in-depth study of the change point problem from a general point of view, as well as a further examination of change point analysis of the most commonly used statistical models. Change point problems are encountered in such disciplines as economics, finance, medicine, psychology, signal processing, and geology, to mention only several. More recently, change point analysis has been found in extensive applications related to analyzing biomedical imaging data, array Comparative Genomic Hybridization (aCGH) data, and gene expression data. .The exposition throughout the work is clear and systematic, with a great deal of introductory material included. Different models are presented in each chapter, including gamma and exponential models, rarely examined thus far in the literature. Extensive examples throughout the text emphasize key concepts and different methodologies used, namely the likelihood ratio criterion as well as the Bayesian and information criterion approaches. New examples of change point analysis in modern molecular biology and other fields such as finance and air traffic control are added in this second edition. Also included | | 出版日期 | Book 2012Latest edition | | 关键词 | Bayesian and information criterion approaches; aCGH data; change point models; discrete models; epidemic | | 版次 | 2 | | doi | https://doi.org/10.1007/978-0-8176-4801-5 | | isbn_ebook | 978-0-8176-4801-5 | | copyright | Springer Science+Business Media, LLC 2012 |
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