Statistical Models Based on Counting Processes (Paperback, 1st ed. 1993. Corr. 4th printing 1996)

Modern survival analysis and more general event history analysis may be effectively handled within the mathematical framework of counting processes. This book presents this theory, which has been the subject of intense research activity over the past 15 years. The exposition of the theory is integrated with careful presentation of many practical examples, drawn almost exclusively from the authors'own experience, with detailed numerical and graphical illustrations. Although Statistical Models Based on Counting Processes may be viewed as a research monograph for mathematical statisticians and biostatisticians, almost all the methods are given in concrete detail for use in practice by other mathematically oriented researchers studying event histories (demographers, econometricians, epidemiologists, actuarial mathematicians, reliability engineers and biologists). Much of the material has so far only been available in the journal literature (if at all), and so a wide variety of researchers will find this an invaluable survey of the subject.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Series in Statistics
Release date:	December 1996
First published:	1993
Authors:	Per K. Andersen • Ornulf Borgan • Richard D. Gill • Niels Keiding
Dimensions:	235 x 155 x 48mm (L x W x T)
Format:	Paperback
Pages:	784
Edition:	1st ed. 1993. Corr. 4th printing 1996
ISBN-13:	978-0-387-94519-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN:	0-387-94519-9
Barcode:	9780387945194

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