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Multinomial logit
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#	Item
21	BEHAVIORAL INSIGHTS TO SELECTING DISTRIBUTIONS FOR RANDOM COEFFICIENTS IN MULTINOMIAL LOGIT MODELS FOR STATED PREFERENCE VALUATION STUDIES MIKOŁAJ CZAJKOWSKI1; MAREK GIERGICZNY1; RICHARD CARSON2 1.UNIVERSITY OF WARSAW; Add to Reading List Source URL: www.isecoeco.org Language: English - Date: 2014-08-13 11:17:59
22	Sectoral Adjustment of Employment to Shifts in Outsourcing and Trade: Evidence From a Dynamic Fixed Effects Multinomial Logit Model∗ Peter Egger†, Michael Pfaffermayr‡, Andrea Weber§ This Version Add to Reading List Source URL: weber.vwl.uni-mannheim.de Language: English - Date: 2010-04-13 06:54:10
23	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 13:36:36 Econometrics Categorical data Statistical models Discrete choice Multinomial logit Latent class model Linear regression Logistic regression Logit Statistics Economics Regression analysis
24	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 16:09:58 Econometrics Categorical data Statistical models Discrete choice Multinomial logit Latent class model Linear regression Logistic regression Logit Statistics Economics Regression analysis
25	0.1 ologit: Ordinal Logistic Regression for Ordered Categorical Dependent Variables Use the ordinal logit regression model if your dependent variable is ordered and categorical, Add to Reading List Source URL: perso.md2t.eu Language: English - Date: 2011-03-08 17:52:46 Econometrics Logistic regression Logit Ordered probit Poisson regression Multinomial logit Linear probability model Statistics Regression analysis Categorical data
26	A Tutorial on Logistic Regression Ying So, SAS Institute Inc., Cary, NC ABSTRACT lump together and identify various portions of an otherwise Add to Reading List Source URL: www.ats.ucla.edu Language: English - Date: 2015-06-17 13:32:45 Categorical data Estimation theory Single equation methods Multinomial logit Logistic regression Iteratively reweighted least squares Linear regression Separation Ordered logit Statistics Regression analysis Econometrics
27	Title stata.com teffects ipwra — Inverse-probability-weighted regression adjustment Description Options Add to Reading List Source URL: www.stata.com Language: English - Date: 2015-06-10 15:14:03 Probit Dummy variable Logit Multinomial logit Average treatment effect Linear regression Normal distribution Resampling Limited dependent variable Statistics Econometrics Regression analysis
28	Title stata.com mi impute — Impute missing values Description Remarks and examples Add to Reading List Source URL: www.stata.com Language: English - Date: 2015-04-07 21:48:26 Data analysis Missing data Imputation Multinomial logit Dummy variable Imputed righteousness Univariate Logistic regression Binomial regression Statistics Regression analysis Econometrics
29	0.1 mlogit: Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values Use the multinomial logit distribution to model unordered categorical variables. The dependent variable may be in the Add to Reading List Source URL: perso.md2t.eu Language: English - Date: 2011-03-08 17:52:46 Actuarial science Categorical data Multinomial logit Statistical models Multinomial distribution Logistic regression Generalized linear model Probability distribution Gauss–Markov theorem Statistics Regression analysis Econometrics
30	Modeling Basketball’s Points per Possession With Application to Predicting the Outcome of College Basketball Games Ryan J. Parker College of Charleston Add to Reading List Source URL: www.basketballgeek.com Language: English - Date: 2010-05-05 14:22:44 Poisson regression Logistic regression Generalized linear model Binomial regression Multinomial logit Linear regression Predictive analytics Statistics Regression analysis Econometrics

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