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K-factor
Results: 330

#	Item
101	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
102	Removing the Scale Factor Confound in Multinomial Logit Choice Models to Obtain Better Estimates of Preference1 Jay Magidson Statistical Innovations Inc. Jeroen K. Vermunt Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2008-09-23 15:42:55 Categorical data Statistical models Choice modelling Scientific modeling Discrete choice Logistic regression Multinomial logit Scale parameter Parameter Statistics Economics Regression analysis
103	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
104	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
105	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: 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
106	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: statisticalinnovations.com Language: English - Date: 2009-01-30 12:07:07 Econometrics Categorical data Psychometrics CHAID Latent class model Multinomial logit Decision tree learning Latent variable Factor analysis Statistics Regression analysis Decision trees
107	Oceanography THE OFFICIAL MAGAZINE OF THE OCEANOGRAPHY SOCIETY CITATION Bates, N.R., Y.M. Astor, M.J. Church, K. Currie, J.E. Dore, M. González-Dávila, L. Lorenzoni, F. Muller-Karger, J. Olafsson, and J.M. Santana-Cas Add to Reading List Source URL: www.tos.org Language: English - Date: 2014-02-15 17:35:50 Physical geography Geochemistry Aquatic ecology Biological oceanography Carbon cycle CARIACO Ocean Time Series Program Revelle factor Ocean acidification Cariaco Basin Chemistry Oceanography Chemical oceanography
108	5 LATENT CLASS FACTOR AND CLUSTER MODELS, BI-PLOTS, AND RELATED GRAPHICAL DISPLAYS Jay Magidson* Jeroen K. Vermunt† Add to Reading List Source URL: 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
109	Local independence Jeroen K. Vermunt & Jay Magidson Local independence is the basic assumption underlying latent variable models, such as factor analysis, latent trait analysis, latent class analysis, and latent profile Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:02 Statistical dependence Categorical data Econometrics Local independence Latent class model Latent variable model Item response theory Factor analysis Latent variable Statistics Statistical models Psychometrics
110	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: 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

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