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Record Nr. |
UNINA9910830076103321 |
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Autore |
Huzurbazar Aparna V. <1966-> |
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Titolo |
Flowgraph models for multistate time-to-event data [[electronic resource] /] / Aparna V. Huzurbazar |
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Pubbl/distr/stampa |
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Hoboken, N.J., : Wiley-Interscience, c2005 |
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ISBN |
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1-280-26514-0 |
9786610265145 |
0-471-68653-0 |
0-471-68656-5 |
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Descrizione fisica |
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1 online resource (292 p.) |
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Collana |
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Wiley Series in Probability and Statistics ; ; v.439 |
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Disciplina |
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Soggetti |
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Flowgraphs |
Stochastic processes |
Reliability (Engineering) - Statistical methods |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 251-260) and indexes. |
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Nota di contenuto |
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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 |
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Sommario/riassunto |
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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 |
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