Flowgraph models for multistate time-to-event data

This book offers a practical, application-based approach to flowgraph models for time-to-event data. It clearly shows how this innovative new methodology can be used to analyze data from semi-Markov processes without prior knowledge of stochastic processes--opening the door to interesting applicatio...

全面介绍

Đã lưu trong:
书目详细资料
主要作者: Huzurbazar, Aparna V.
格式: 图书
语言:Undetermined
出版: Hoboken, N.J. John Wiley & Son, Inc 2005
主题:
标签: 添加标签
没有标签, 成为第一个标记此记录!
Thư viện lưu trữ: Trung tâm Học liệu Trường Đại học Cần Thơ
实物特征
总结:This book offers a practical, application-based approach to flowgraph models for time-to-event data. It clearly shows how this innovative new methodology can be used to analyze data from semi-Markov processes without prior knowledge of stochastic processes--opening the door to interesting applications in survival analysis and reliability as well as stochastic processes. Unlike other books on multistate time-to-event data, this work emphasizes reliability and not just biostatistics, illustrating each method with medical and engineering examples. It demonstrates how flowgraphs bring together applied probability techniques and combine them with data analysis and statistical methods to answer questions of practical interest. Bayesian methods of data analysis are emphasized.