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Latent class model
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#	Item
31	7 MULTILEVEL LATENT CLASS MODELS Jeroen K. Vermunt* The latent class (LC) models that have been developed so far assume that observations are independent. Parametric and nonparametric random-coefficient LC models are pro Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:01 Psychometrics Estimation theory Actuarial science Multilevel model Expectation–maximization algorithm Item response theory Latent class model Non-parametric statistics Normal distribution Statistics Statistical models Econometrics
32	Seminar Series 2014 Add to Reading List Source URL: www.buseco.monash.edu.au Language: English - Date: 2014-08-13 03:35:57 Organ donation Discrete choice Health economics Latent class model Public health Health Statistics Economics
33	Factor Analysis with Categorical Indicators: A Comparison Between Traditional and Latent Class Approaches Jeroen K. Vermunt Tilburg University Jay Magidson Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:13:27 Econometrics Estimation theory Categorical data Latent variable model Latent class model Latent variable Item response theory Data analysis Maximum likelihood Statistics Statistical models Psychometrics
34	Reprinted from the Proceedings of the COMPSTAT 2000 conference. Graphical Displays for Latent Class Cluster and Latent Class Factor Models Jeroen K. Vermunt1 and Jay Magidson2 1 Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:13:07 Statistical models Categorical data Educational psychology Latent class model Latent variable Data analysis Factor analysis Cluster analysis Latent variable model Statistics Psychometrics Multivariate statistics
35	Latent Class Models in Longitudinal Research Jeroen K. Vermunt Department of Methodology and Statistics, Tilburg University Bac Tran U.S. Census Bureau Jay Magidson Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2008-01-22 12:06:02 Markov processes Categorical data Econometrics Latent class model Latent variable Expectation–maximization algorithm Hidden Markov model Markov chain Mixture model Statistics Statistical models Markov models
36	Last updated: Latent GOLD® Choice 5.0 tutorial #10A (3-file format) How to Estimate Scale-Adjusted Latent Class (SALC) Models and Obtain Better Segments with Discrete Choice Data Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2014-10-30 08:32:00 Knowledge Choice modelling Scientific modeling Scale model Discrete choice Economic model Level of measurement Segmentation O scale Statistics Economics Statistical models
37	Copyright © 2013 by Statistical Innovations Inc. All rights reserved. (version: Markov Tutorial #1: Latent GOLD Longitudinal Analysis of Brand Loyalty Download Demo Version Overview Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2013-09-17 11:23:03 Econometrics Regression analysis Statistical methods Markov chain Latent class model Hidden Markov model Structural equation modeling Statistics Markov models Categorical data
38	Technical Guide for Latent GOLD Choice 4.0: Basic and Advanced1 Jeroen K. Vermunt and Jay Magidson Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-05-15 16:09:58 Econometrics Categorical data Statistical models Discrete choice Multinomial logit Latent class model Linear regression Logistic regression Logit Statistics Economics Regression analysis
39	LATENT CLASS ANALYSIS WITH SAMPLING WEIGHTS: A MAXIMUM LIKELIHOOD APPROACH Jeroen K. Vermunt Department of Methodology and Statistics, Tilburg University Jay Magidson Statistical Innovations Inc. Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:22 Mathematical analysis Expectation–maximization algorithm Missing data Mixture model Latent class model Latent variable model Weight function Maximum likelihood Statistics Estimation theory Statistical models
40	Latent Class (Finite Mixture) Segments How to find them and what to do with them Jay Magidson Statistical Innovations Inc. Belmont, MA USA www.statisticalinnovations.com Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2010-07-29 08:39:16 Local independence Latent variable Mixture model Expectation–maximization algorithm Statistics Statistical models Latent class model

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