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Introduction
Log-Linear Anaylsis
Log-Linear Anaylsis with Latent Variables and Missing Data
Event History Analysis
Event History Analysis with Latent Variables and Missing Data
A: Computation of the Log-Linear Parameters When Using the IPF Algorithm
B: The Log-Linear Model as One of the Generalized Linear Models
C: The Newton-Raphson Algorithm
D: The Uni-Dimensional Newton Algorithm
E: Likelihood Equations for Modified Path Models
F: The Estimation of Conditional Probabilities under Restrictions
G: The Information Matrix in Modified Path Models with Missing Data
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Add Log-Linear Models for Event Histories, Vol. 8, Event history analysisùa method for explaining why some people are more likely to experience a particular event, transition, or change than other peopleùhas been useful in the social sciences for studying the processes of social change. One of the main di, Log-Linear Models for Event Histories, Vol. 8 to the inventory that you are selling on WonderClubX
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Add Log-Linear Models for Event Histories, Vol. 8, Event history analysisùa method for explaining why some people are more likely to experience a particular event, transition, or change than other peopleùhas been useful in the social sciences for studying the processes of social change. One of the main di, Log-Linear Models for Event Histories, Vol. 8 to your collection on WonderClub |