Flowgraph Models for Multistate Time-to-Event Data (eBook)

APARNA V. HUZURBAZAR, PhD, is Associate Professor of Statistics at the University of New Mexico. She is the author of numerous technical articles in such areas as Bayesian statistics, survival analysis, stochastic processes, and applications to biomedical and engineering systems.

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. Computation 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.

"...this is a well-written book on a novel and interesting
approach to multistate modeling." (Biometrics, September
2006)

"This book is one that researchers interested in techniques for
multistate models, either in reliability or biometry should look
at." (Journal of the American Statistical Association,
September 2006)

"...a real addition to the toolbox of both biostatisticians
who use survival analysis and reliability engineers who do failure
analysis on a regular basis." (Technometrics, February
2006)

"...illustrated with interesting examples...the
book is particularly welcome..." (International
Statistical Institute, January 2006)

"...a useful...account of the use of flowgraphy or semi-Markov
parametric models in both industrial and biological applications."
(Journal of Biopharmaceutical Statistics, September/October
2005)

"Methods are explained comprehensively, with extensive
examples...data analysts would find valuable examples here for
their own applications." (Computing Reviews.com, June 2,
2005)

"Fruitful medical and engineering examples and
applications are presented..." (Zentralblatt Math,
Vol.1055, No.06, 2005)