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Nákupom získate 324 bodov

Anotácia knihy

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, modified path models with latent variables and log-linear models for non-response.Other topics covered are: the main types of hazard models; censoring; the use of time-varying covariates; models for competing risks; multivariate hazard models; and a general approach for dealing with missing data problems - including measurement error in the dependent variable, measurement error in the covariates, partially missing information in the dependent variable and partially observed covariate values.

Parametre knihy

Zaradenie knihy Knihy po anglicky Society & social sciences Sociology & anthropology Sociology

• Celý názov: Log-Linear Models for Event Histories
• Autor: Jeroen K. Vermunt
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 360
• EAN: 9780761909378
• ISBN: 0761909370
• ID: 04683666
• Nakladateľ: SAGE Publications Inc
• Hmotnosť: 710 g
• Rozmery: 238 × 163 × 24 mm
• Dátum vydania: 19. June 1997

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