The analysis of stochastic processes using GLIM
by James K. Lindsey
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.
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Previews available in: English
| Edition | Availability |
|---|---|
1
Analysis of Stochastic Processes Using GLIM
2012, Springer London, Limited
in English
1461228883 9781461228882
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2
The analysis of stochastic processes using GLIM
1992, Springer-Verlag
in English
0387977619 9780387977614
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Edition Notes
Includes bibliographical references (p. [285]-290) and index.
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| April 6, 2025 | Edited by MARC Bot | import existing book |
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