Proceedings of a workshop held in Trento, Italy in July 1991. Statistical methods based on models with latent variables play an important role in the analysis of multivariate data. Papers address the problems involved in developing a unifying statistical theory for latent variable models. Topics include criminometrics, scale construction by maximizing reliability, structural equation models as nonlinear regression models, system identification and errors in the variables, latent variable modeling with ordinary variables, and structural equation models with hierarchical data. No index. Annotation copyright Book News, Inc. Portland, Or.
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