ENGLISH

The Analysis of Stochastic Processes using GLIM

By James K. Lindsey (auth.)

Book information

Publisher
Springer-Verlag New York
Year
1992
ISBN
978-0-387-97761-4, 978-1-4612-2888-2
DOI
10.1007/978-1-4612-2888-2
Language
english
Format
PDF
Filesize
10 MB (10887536 bytes)
Series
Lecture Notes in Statistics 72
Edition
1
Pages
294\300
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
generalStatistics

Description

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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