1.

Record Nr.

UNINA9911019464003321

Autore

Huzurbazar Aparna V. <1966->

Titolo

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

Pubbl/distr/stampa

Hoboken, N.J., : Wiley-Interscience, c2005

ISBN

9786610265145

9781280265143

1280265140

9780471686538

0471686530

9780471686569

0471686565

Descrizione fisica

1 online resource (292 p.)

Collana

Wiley Series in Probability and Statistics ; ; v.439

Disciplina

519.5/42

Soggetti

Flowgraphs

Stochastic processes

Reliability (Engineering) - Statistical methods

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

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