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Multinomial
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#	Item
101	Supervised Feature-Based Classification of Multi-Channel SAR Images D. Borghys, Y. Yvinec, C. Perneel, Signal & Image Centre, Royal Military Academy, Renaissancelaan 30, B-1000 Brussels Add to Reading List Source URL: www.sic.rma.ac.be Language: English - Date: 2006-04-12 03:38:07 Econometrics Multinomial logit Supervised learning Logistic regression Regularization Pattern recognition Statistics Regression analysis Machine learning
102	(Reprinted from the 2010 American Statistical Association Proceedings with Edits) Correlated Component Regression: A Prediction/Classification Methodology for Possibly Many Features Jay Magidson Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2011-03-09 08:57:01 Logistic regression Principal component regression Linear discriminant analysis Separation Multicollinearity Stepwise regression Standardized coefficient Least squares Multinomial logit Statistics Regression analysis Linear regression
103	A Note on the Heterogeneous Choice Model G. Rohwer (JanuaryThe heterogeneous choice model (HCM) has been proposed as an extension of the standard logit and probit models (Williams, In this note, I show that Add to Reading List Source URL: www.stat.ruhr-uni-bochum.de Language: English - Date: 2015-02-20 13:01:21 Logit Explained variation Probit model Independence Dummy variable Multinomial logit Statistics Regression analysis Logistic regression
104	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
105	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
106	Bayesian Analysis, Number 2, pp. 353–356 Bayesian Estimation of the Multinomial Logit Model: A Comment on Holmes and Held, Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2014-05-21 05:19:52 Actuarial science Multinomial logit Logistic regression Variational Bayesian methods Statistics Regression analysis Econometrics
107	PDF Document Add to Reading List Source URL: www.buseco.monash.edu.au Language: English - Date: 2014-08-10 23:17:22 Econometrics Psychometrics Regression analysis Statistical methods Discrete choice Choice modelling Latent variable Economic model Multinomial logit Statistics Economics Statistical models
108	PDF Document Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:43 Knowledge Statistical models Environmental economics Discrete choice Choice modelling Independence of irrelevant alternatives Choice set Economic model Multinomial logit Economics Econometrics Statistics
109	Correlated Component Regression (CCR) Use this module to model and predict a designated dependent variable Y (continuous or dichotomous) from a set of P correlated explanatory variables (predictors) X = (X1, X2, … , XP Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-09-22 15:25:17 Partial least squares regression Linear regression Linear discriminant analysis Multicollinearity Generalized linear model Least squares Cross-validation Multinomial logit Nonparametric regression Statistics Regression analysis Logistic regression
110	Technical Guide for Latent GOLD Choice 4.0: Basic and Advanced1 Jeroen K. Vermunt and Jay Magidson Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2009-05-15 13:36:36 Econometrics Categorical data Statistical models Discrete choice Multinomial logit Latent class model Linear regression Logistic regression Logit Statistics Economics Regression analysis

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