Factor analysis with (mixed) observed and latent variables in the exponential family
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Publication:2511853
DOI10.1007/BF02296193zbMath1293.62261MaRDI QIDQ2511853
Wagner A. Kamakura, Michel Wedel
Publication date: 6 August 2014
Published in: Psychometrika (Search for Journal in Brave)
Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to psychology (62P15)
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Cites Work
- Unnamed Item
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- Unnamed Item
- Unnamed Item
- Unnamed Item
- Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
- Factor analysis and AIC
- Simulated maximum likelihood estimation of dynamic discrete choice statistical models. Some Monte Carlo results
- Generalized latent trait models
- Bayesian factor analysis for multilevel binary observations
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
- Analysis of Dispersion of Multinomial Responses
- Orthogonal Array-Based Latin Hypercubes
- A latent trait and a latent class model for mixed observed variables
- STATISTICAL INFERENCE WITH SIMULATED LIKELIHOOD FUNCTIONS
- A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration
- Bayesian Inference in Econometric Models Using Monte Carlo Integration
- The sensitivity of latent trait analysis to choice of prior distribution