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Class variable
Results: 171

#	Item
31	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
32	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
33	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
34	Property Inference for Maple: An Application of Abstract Interpretation Jacques Carette1 Stephen Forrest1 Add to Reading List Source URL: www.cas.mcmaster.ca Language: English - Date: 2007-06-24 16:58:38 Data types Computer programming Object-oriented programming Functional programming Polymorphism Type system Variable Type class C Software engineering Computing Type theory
35	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
36	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
37	An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables? Jay Magidson1 and Jeroen K. Vermunt2 1 2 Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:14:41 Econometrics Categorical data Psychometrics CHAID Latent class model Multinomial logit Decision tree learning Latent variable Factor analysis Statistics Regression analysis Decision trees
38	5 LATENT CLASS FACTOR AND CLUSTER MODELS, BI-PLOTS, AND RELATED GRAPHICAL DISPLAYS Jay Magidson* Jeroen K. Vermunt† Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:33 Multivariate statistics Categorical data Regression analysis Latent class model Latent variable Factor analysis Data analysis Local independence Confirmatory factor analysis Statistics Psychometrics Statistical models
39	Wisconsin River Floodplain Project: Overview and Plot Metadata CLASS I. DATA SET DESCRIPTORS Data set identity: Plot-level variable information for Wisconsin River Floodplain Project. Relevant for following Wisconsin Riv Add to Reading List Source URL: landscape.zoology.wisc.edu Language: English - Date: 2011-08-09 16:06:53 Driftless Area Wisconsin River Floodplain Central Plain Mississippi River Geography of the United States Wisconsin Flood control
40	Journal of Artificial Intelligence Research203 Submitted 11/12; publishedA Survey on Latent Tree Models and Applications Rapha¨ Add to Reading List Source URL: jair.org Language: English - Date: 2013-05-31 00:53:01 Latent variable Expectation–maximization algorithm Latent class model Bayesian network Graphical model Mixture model Marginal likelihood Statistics Statistical models Bayesian statistics

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