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Latent class model
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81	Technical Guide for Latent GOLD 4.0: Basic and Advanced1 Jeroen K. Vermunt and Jay Magidson Statistical Innovations Inc. Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-05-15 16:08:08 Econometrics Psychometrics Actuarial science Linear regression Latent class model Latent variable Generalized linear model Factor analysis Mixture model Statistics Regression analysis Statistical models
82	Tutorial #5: Analyzing Ranking Data Choice tutorials 1-4 all dealt with the analysis of first choices among sets of alternatives. In applications where information is also available on additional choices -- 2nd choice, 3 Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:38:20 Choice set Latent class model Logistic regression Logit Variable and attribute Asynchronous Transfer Mode Ø Statistics Categorical data Conjoint analysis
83	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: 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
84	Microsoft Word - Sage book12b.doc Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:15 Regression analysis Categorical data Estimation theory Latent class model Akaike information criterion Linear regression Latent variable Economic model Local independence Statistics Econometrics Statistical models
85	Non-parametric Random-Effects Model Jeroen K. Vermunt & Jay Magidson Random-effects modeling is one of the several alternative approaches to deal with dependent observations such as that which occur in repeated measures Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:06 Econometrics Actuarial science Statistical inference Linear regression Non-parametric statistics Latent class model Mixture distribution Parametric model Generalized linear model Statistics Statistical models Regression analysis
86	software review A Big Step Forward in Latent Class Analysis Syntax trumps GUI. By Ken Deal Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2008-10-02 13:59:30 Multivariate statistics Econometrics Statistical methods Latent class model Latent variable Regression analysis Cluster analysis Factor analysis SPSS Statistics Psychometrics Statistical models
87	Hierarchical Mixture Models for Nested Data Structures Jeroen K. Vermunt1 and Jay Magidson2 1 2 Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 13:02:02 Regression analysis Categorical data Estimation theory Expectation–maximization algorithm Mixture model Latent class model Mixture distribution Hidden Markov model Markov chain Statistics Statistical models Markov models
88	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: 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
89	Technical Guide for Latent GOLD 5.0: Basic, Advanced, and Syntax1 Jeroen K. Vermunt and Jay Magidson Statistical Innovations Inc. Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2013-11-04 08:41:10 Statistical models Psychometrics Actuarial science Latent class model Linear regression Non-parametric statistics Generalized linear model Factor analysis Latent variable Statistics Regression analysis Econometrics
90	Hierarchical Mixture Models for Nested Data Structures Jeroen K. Vermunt1 and Jay Magidson2 1 2 Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:13 Regression analysis Categorical data Estimation theory Expectation–maximization algorithm Mixture model Latent class model Mixture distribution Hidden Markov model Markov chain Statistics Statistical models Markov models

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