Generalized Latent Variable Modeling: Multilevel, by Anders Skrondal,Sophia Rabe-Hesketh

By Anders Skrondal,Sophia Rabe-Hesketh

This publication unifies and extends latent variable types, together with multilevel or generalized linear combined versions, longitudinal or panel versions, merchandise reaction or issue types, latent type or finite combination types, and structural equation types. Following a steady advent to latent variable modeling, the authors essentially clarify and distinction quite a lot of estimation and prediction tools from biostatistics, psychometrics, econometrics, and records. They current intriguing and reasonable purposes that reveal how researchers can use latent variable modeling to unravel concrete difficulties in parts as diversified as drugs, economics, and psychology. The examples thought of comprise many nonstandard reaction forms, resembling ordinal, nominal, count number, and survival info. Joint modeling of combined responses, corresponding to survival and longitudinal info, can also be illustrated. a number of screens, figures, and graphs make the textual content brilliant and simple to learn.

About the authors:

Anders Skrondal is Professor and Chair in Social data, division of statistics, London tuition of Economics, united kingdom

Sophia Rabe-Hesketh is a Professor of academic facts on the Graduate institution of schooling and Graduate team in Biostatistics, college of California, Berkeley, USA.

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