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1 of 1 people found the following review helpful:
5.0 out of 5 stars
Comprehensive treatment of an important subject,
By
This review is from: Flowgraph Models for Multistate Time-to-Event Data (Wiley Series in Probability and Statistics) (Hardcover)
Flowgraph models have been used for decades in various engineering fields, but seem to be underappreciated in probability and statistics. This book offers a concise but comprehensive treatment of the subject, both theory and technique. It includes enough guidance to allow readers to implement the method on computers (this reviewer has done so with Mathematica). In the course of explaining flowgraphs, the author presents many applications, reviews background material from survival analysis and stochastic processes, and discusses numerical analysis methods ranging from saddlepoint approximations to Markov chain Monte Carlo. Practicioners will appreciate the emphasis on analyzing data to solve real-world problems. The author's indication of a one-year graduate course on probability and statistics as prerequisite is roughly accurate, but probably anyone with an engineering mathematics background will be able to profitably read the book.
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Flowgraph Models for Multistate Time-to-Event Data (Wiley Series in Probability and Statistics) by Aparna V. Huzurbazar (Hardcover - November 11, 2004)
$147.00
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