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- About this book
-
The aim of this book is to present a survey of the many ways in which the statistical package GLIM may be used to model and analyze stochastic processes. Its emphasis is on using GLIM interactively to apply statistical techniques, and examples are drawn from a wide range of applications including medicine, biology, and the social sciences. It is based on the author's many years of teaching courses along these lines to both undergraduate and graduate students. The author assumes that readers have a reasonably strong background in statistics such as might be gained from undergraduate courses and that they are also familiar with the basic workings of GLIM. Topics covered include: the analysis of survival data, regression and fitting distributions, time series analysis (including both the time and frequency domains), repeated measurements, and generalized linear models.
- Table of contents (9 chapters)
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Normal Theory Models and Some Extensions
Pages 1-20
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Markov Chains
Pages 21-42
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Point and Renewal Processes
Pages 43-78
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Survival Curves
Pages 79-102
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Growth Curves
Pages 103-113
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Table of contents (9 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- The Analysis of Stochastic Processes using GLIM
- Authors
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- James K. Lindsey
- Series Title
- Lecture Notes in Statistics
- Series Volume
- 72
- Copyright
- 1992
- Publisher
- Springer-Verlag New York
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-1-4612-2888-2
- DOI
- 10.1007/978-1-4612-2888-2
- Softcover ISBN
- 978-0-387-97761-4
- Series ISSN
- 0930-0325
- Edition Number
- 1
- Number of Pages
- VI, 294
- Topics
