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Latent class model
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21	Latent Class Analysis Jeroen K. Vermunt & Jay Magidson The basic idea underlying latent class (LC) analysis is a very simple one: some of the parameters of a postulated statistical model differ across unobserved subgroup Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:11:48 Econometrics Categorical data Multivariate statistics Latent class model Expectation–maximization algorithm Latent variable model Structural equation modeling Logistic regression Mixture model Statistics Regression analysis Statistical models
22	STATISTICAL MODELING WEEK bridging the gap between theory and practice October 22-26, 2012 Boston Course 1: October 22-23, 2012 Key Driver Regression in Practice: Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2012-06-15 11:02:11 Market research Marketing Product management Latent class model CHAID Choice modelling Linear regression Data analysis Discrete choice Statistics Regression analysis Econometrics
23	Microsoft Word - Crackers tutorial 2.doc Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:49:37 Statistics Categorical data Latent class model
24	Structural Equation Models: Mixture Models 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 12:15:16 Mixture model Latent class model Expectation–maximization algorithm Cluster analysis Covariance Linear discriminant analysis Multivariate normal distribution Factor analysis Statistics Multivariate statistics Structural equation modeling
25	22 Comparing Latent Class Factor Analysis with the Traditional Approach in Data Mining Jay Magidson and Jeroen K. Vermunt Statistical Innovations Inc., USA, and Tilburg University, The Netherlands Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:55 Psychometrics Multivariate statistics Econometrics Factor analysis Logistic regression Linear regression Latent class model Latent variable Varimax rotation Statistics Regression analysis Statistical models
26	Computational Statistics & Data Analysis – 537 www.elsevier.com/locate/csda Latent class models for classi%cation Jeroen K. Vermunta;∗ , Jay Magidsonb a Department Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-07-22 15:03:17 Categorical data Statistical models Machine learning Latent class model Logistic regression Latent variable Linear regression Supervised learning Naive Bayes classifier Statistics Regression analysis Econometrics
27	CHAPTER 6. MODEL AND MODEL SUMMARY OUTPUT CHAPTER 7. TUTORIALS Sectionscontain tutorials which introduces the basic ideas in traditional latent class modeling using 4 nominal categorical variables. Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-05-18 08:50:19 Statistical inference Statistical models Computational statistics SPSS Dummy variable Bootstrapping Latent class model Autoregressive conditional heteroskedasticity Statistics Econometrics Regression analysis
28	Graphical Displays for Identified and Unidentified Latent Class Cluster and Factor Models Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:13:22 Statistical models Structural equation models Categorical data Latent class model Latent variable Factor analysis Data analysis Confirmatory factor analysis Parameter Statistics Psychometrics Multivariate statistics
29	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: www.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
30	Application of latent class models to food product development: a case study Richard Popper1, Jeff Kroll1 and Jay Magidson2 1 Peryam & Kroll Research Corporation, 6323 N. Avondale Ave., Chicago, IL 60631, Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:13:59 Statistical methods Categorical data Estimation theory Linear regression Latent class model Bayesian information criterion Economic model Statistics Regression analysis Econometrics

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