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Latent Variable Modeling and Applications to Causality : Springer Texts in Statistics - Maia Berkane

Latent Variable Modeling and Applications to Causality

Springer Texts in Statistics

By: Maia Berkane (Editor)

Paperback Published: 24th January 1997
ISBN: 9780387949178
Number Of Pages: 284

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This volume gathers refereed papers presented at the 1994 UCLA conference on "Latent Variable Modeling and Application to Causality." The papers in this volume are representative of a wide variety of disciplines in which the use of latent varible models is rapidly growing. The volume is divided into two broad sections. The first section covers Path Modela and Causal Reasoning, and the chapters are innovations from contributions in disciplines not traditionally associated with the behavorial sciences, such as computer science and public health. The second section encompasses new approaches to questions of model selection with an emphasis on factor analysis and time varying systems. All the chapters present new results not published elsewhere.

Embedding Common factors in a Path Modelp. 1
Measurement, Causation and Local Independence in Latent Variable Modelsp. 11
On the Identifiability of Nonparametric Structural Modelsp. 29
Estimating the Causal effects of Time Varying Endogeneous Treatments by G-Estimation of Structural Nested Modelsp. 69
Model as Instruments, with Applications to Moment Structure Analysisp. 119
Bias and Mean Square Error of the Maximum Likeliliood Estimators of the Parameters of the Intraclass Correlation Modelp. 133
Latent Variable Growth Modeling with Multilevel Datap. 149
High-Dimensional Full-Information Item Factor Analysisp. 163
Dynamic Factor Models for the Analysis of Ordered Categorical Panel datap. 177
Model Fitting Procedures for Nonlinear Factor Analysis Using the Errors-in-Variables Parameterizationp. 195
Multivariate Regression with Errors in Variables: Issues on Asymptotic Robustnessp. 211
Non-Iterative fitting of the Direct Product Model for Multitrait-Multimethod Correlation Matricesp. 229
An EM Algorithm for ML Factor Analysis with Missing Datap. 247
Optimal Conditionally Unbiased Equivariant Factor Score Estimatorsp. 259
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780387949178
ISBN-10: 0387949178
Series: Springer Texts in Statistics
Audience: General
Format: Paperback
Language: English
Number Of Pages: 284
Published: 24th January 1997
Publisher: Springer-Verlag New York Inc.
Country of Publication: US
Dimensions (cm): 23.39 x 15.6  x 1.58
Weight (kg): 0.42