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The Analysis of Stochastic Processes using GLIM

  • Book
  • © 1992

Overview

Part of the book series: Lecture Notes in Statistics (LNS, volume 72)

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Table of contents (9 chapters)

Keywords

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.

Authors and Affiliations

  • Faculté d’Economie, de Gestion et de Sciences Sociales, Université de Liège, Liège, Belgium

    James K. Lindsey

Bibliographic Information

  • Book Title: The Analysis of Stochastic Processes using GLIM

  • Authors: James K. Lindsey

  • Series Title: Lecture Notes in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-2888-2

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1992

  • Softcover ISBN: 978-0-387-97761-4Published: 23 April 1992

  • eBook ISBN: 978-1-4612-2888-2Published: 06 December 2012

  • Series ISSN: 0930-0325

  • Series E-ISSN: 2197-7186

  • Edition Number: 1

  • Number of Pages: VI, 294

  • Topics: Probability Theory and Stochastic Processes, Applications of Mathematics

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