Statistical modelling and latent variables
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書誌事項
Statistical modelling and latent variables
North-Holland, 1993
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注記
Includes bibliographical references
内容説明・目次
内容説明
Statistical methods based on models with latent variables play an important role in the analysis of multivariate data. The subject can be approached theoretically or in an empirical, pragmatic way. The statistical problem is to make inferences about the latent variables and the relationships between them. Errors-in-variables models, factor analysis and latent structure models are all examples of this approach. This volume presents a selection of invited and contributed papers which address the problems involved in developing a unifying statistical theory for latent variable models.
目次
Criminometrics, Latent Variables, and Panel Data (J. Aasness, E. Eide, T. Skjerpen). Scale Construction by Maximizing Reliability (D.J. Bartholomew, M. Knott). Finite Sample Properties of Limited Information Estimation: An Algebraic Approach (P.A. Bekker). Structural Equation Models as Nonlinear Regression Models (P.M. Bentler). Stochastic Frontier and Switching Regression Models with Latent Variables (R. Colombi). Latent Class Models with Ordered Latent Classes: An Approach to Nonparametric Latent Trait Modelling (M.A. Croon). System Identification and Errors in the Variables (M. Deistler, W. Scherrer). Principal Components and Proportionality in Patterned Covariance Matrices (B.D. Flury, B. Neuenschwander). Errors-in-Variables Identification and Model Uniqueness (R.P. Guidorzi). Measurement Error Models with Unequal Error Variances (N.A. Hasabelnaby, W.A. Fuller). Latent Variable Modelling with Ordinal Variables (K.G. Joereskog). Asymptotic Properties of Statistical Inference Based on Fisher Consistent Estimators in the Analysis of Covariance Structures (Y. Kano). Imposed Quasi-Normality in Covariance Structure Analysis (R. Koning, H. Neudecker, T. Wansbeek). Structural Equation Models with Hierarchical Data (S.-Y. Lee, W.-Y. Poon). Global Optimization Criteria of the PLS-Algorithm in Recursive Path Models with Latent Variables (H. Mathes). Structural Equation Models with Transformed Variables (A. Mooijaart). Individual Unit Models versus Structural Equations: Growth Curve Examples (D. Rogosa). Multi-Sample Analysis of Moment-Structures: Asymptotic Validity of Inferences Based on Second-Order Moments (A. Satorra). Consistency at Large in Models with Latent Variables (H. Schneeweiss). A DYMIMIC Model of Employment: Another Look at Some Issues of Formulation, Identification and Estimation (U. Trivellato, S. Bordignon, C. Gaetan). General Least Squares Regression in Linear Errors-in-Variables Models with Correlated Errors (L. Wang).
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