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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Log-Linear Models for Event Histories

Log-Linear Models for Event Histories

Vermunt, Jeroen K.

Hardcover

Series: Advanced Quantitative Techniques in the Social Sciences, Book 8

General ScienceGeneral SociologyProbability & Statistics

ISBN10: 0761909370
ISBN13: 9780761909378
Publisher: Sage Publications, Inc
Published: May 1 1997
Pages: 360
Weight: 1.55
Height: 1.30 Width: 6.20 Depth: 9.10
Language: English
Event history analysis has been a useful method in the social sciences for studying the processes of social change. However, a main difficulty in using this technique is to observe all relevant explanatory variables without missing any variables.

This book presents a general approach to missing data problems in event history analysis which is based on the similarities between log-linear models, hazard models and event history models. It begins with a discussion of log-rate models, modified path models and methods for obtaining maximum likelihood estimates of the parameters of log-linear models. The author then shows how to incorporate variables with missing information in log-linear models - including latent class models, m

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