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Flowgraph models for multistate time-to-event data / / Aparna V. Huzurbazar



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Autore: Huzurbazar Aparna V. <1966-> Visualizza persona
Titolo: Flowgraph models for multistate time-to-event data / / Aparna V. Huzurbazar Visualizza cluster
Pubblicazione: Hoboken, N.J., : Wiley-Interscience, c2005
Descrizione fisica: 1 online resource (292 p.)
Disciplina: 519.5/42
Soggetto topico: Flowgraphs
Stochastic processes
Reliability (Engineering) - Statistical methods
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references (p. 251-260) and indexes.
Nota di contenuto: 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 Index
Sommario/riassunto: A 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 with
Titolo autorizzato: Flowgraph models for multistate time-to-event data  Visualizza cluster
ISBN: 9786610265145
9781280265143
1280265140
9780471686538
0471686530
9780471686569
0471686565
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911019464003321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Wiley Series in Probability and Statistics