This handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables. It covers a wide class of important models. Models and statistical methods described provide tools for analyzing a wide spectrum of complicated data. It includes illustrative examples with real data sets from business, education, medicine, public health and sociology. It demonstrates the use of a wide variety of statistical, computational, and mathematical techniques.
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