Flowgraph models for multistate time-to-event data

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...

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Chi tiết về thư mục
Tác giả chính: Huzurbazar, Aparna V.
Định dạng: Sách
Ngôn ngữ:Undetermined
Được phát hành: Hoboken, N.J. John Wiley & Son, Inc 2005
Những chủ đề:
Flowgraphs,Stochastic processes,Quy trình ngẫu nhiên
Các nhãn: Thêm thẻ
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Thư viện lưu trữ: Trung tâm Học liệu Trường Đại học Cần Thơ
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260 |c 2005 
520 |a 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. 
650 |a Flowgraphs,Stochastic processes,Quy trình ngẫu nhiên 
904 |i T Thu,Qhieu 
980 |a Trung tâm Học liệu Trường Đại học Cần Thơ 

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