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Multinomial logistic regression
Results: 161

#	Item
31	A general formulation of the cross-nested logit model Michel Bierlaire, EPFL Conference paper STRC 2001 Session: Choices Add to Reading List Source URL: www.strc.ch Language: English - Date: 2009-01-19 11:04:30 Statistics Regression analysis Single-equation methods Statistical models Choice modelling Discrete choice Logit Mode choice Multinomial logistic regression Logistic regression Maximum likelihood estimation Probit
32	Capturing Correlation in Route Choice Models using Subnetworks Emma Frejinger, EPFL Michel Bierlaire, EPFL Conference paper STRC 2006 Add to Reading List Source URL: www.strc.ch Language: English - Date: 2008-11-28 02:01:26 Regression analysis Choice modelling Statistical models Discrete choice Logit Multinomial logistic regression Multinomial probit Logistic regression
33	”The Transition to Adulthood and Pathways Out of the Parental Home across Europe” Katrin Schwanitz, INED DRAFT version. Please do not cite without the permission of the author. Abstract Add to Reading List Source URL: journees_uniteco.site.ined.fr Language: English - Date: 2015-07-01 11:06:50 Economics Multinomial logit Logistic regression Young adult Friendship Dummy variable Statistics Regression analysis Econometrics
34	OSIPP Discussion Paper: DP-2004-E-004 Shared Literacy and Employment in Non-farm Sector August 27, 2004 北條雅一 (Masakazu Hojo) * Add to Reading List Source URL: www.osipp.osaka-u.ac.jp Language: English - Date: 2004-12-16 02:34:25 Human behavior Behavior Knowledge Reading Literacy Multinomial logit Labour economics Employment Logistic regression Statistics Regression analysis Socioeconomics
35	Maximum Likelihood Estimation of Logistic Regression Models: Theory and Implementation Scott A. Czepiel∗ Abstract This article presents an overview of the logistic regression model Add to Reading List Source URL: czep.net Language: English - Date: 2014-01-05 17:25:31 Estimation theory Actuarial science Categorical data Logistic regression Linear regression Generalized linear model Least squares Multinomial logit Maximum likelihood Statistics Regression analysis Econometrics
36	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
37	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
38	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
39	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
40	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