03019nam 22006494a 450 991101946400332120200520144314.09786610265145978128026514312802651409780471686538047168653097804716865690471686565(CKB)1000000000018974(EBL)221241(OCoLC)437143738(SSID)ssj0000156152(PQKBManifestationID)11946835(PQKBTitleCode)TC0000156152(PQKBWorkID)10113494(PQKB)11146553(MiAaPQ)EBC221241(Perlego)2760280(EXLCZ)99100000000001897420040325d2005 uy 0engur|n|---|||||txtccrFlowgraph models for multistate time-to-event data /Aparna V. HuzurbazarHoboken, N.J. Wiley-Intersciencec20051 online resource (292 p.)Wiley Series in Probability and Statistics ;v.439Description based upon print version of record.9780471265146 0471265144 Includes bibliographical references (p. 251-260) and indexes.Flowgraph Models for Multistate Time-to-Event Data; Contents; Preface; 1 Multistate Models and Flowgraph Models; 2 Flowgraph Models; 3 Inversion of Flowgraph Moment Generating Functions; 4 Censored Data Histograms; 5 Bayesian Prediction for Flowgraph Models; 6 Computational Implementation of Flowgraph Models; 7 Semi-Markov Processes; 8 Incomplete Data; 9 Flowgraph Models for Queuing Systems; Appendix: Moment Generating Functions; References; Author Index; Subject IndexA unique introduction to the innovative methodology of statistical flowgraphsThis 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 withWiley Series in Probability and StatisticsFlowgraphsStochastic processesReliability (Engineering)Statistical methodsFlowgraphs.Stochastic processes.Reliability (Engineering)Statistical methods.519.5/42Huzurbazar Aparna V.1966-1838294MiAaPQMiAaPQMiAaPQBOOK9911019464003321Flowgraph models for multistate time-to-event data4417262UNINA