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281	BIOGEME: a free package for the estimation of discrete choice models Michel Bierlaire, EPFL Conference paper STRC[removed]STRC Add to Reading List Source URL: www.strc.ch Language: English - Date: 2009-01-15 16:30:07 Categorical data Econometrics Discrete choice Mixed logit Multinomial logit Logistic regression Logit Choice modelling Generalized extreme value distribution Statistics Statistical models Regression analysis
282	Overview and Reference Document for Operational Experience Results and Databases Trending 1 Introduction Trend methods differ depending on the nature of the data under study. When raw data, such as counts of failures and Add to Reading List Source URL: nrcoe.inl.gov Language: English Regression analysis Statistical models Categorical data Logit Failure rate Logistic regression Normal distribution Probability distribution Reliability engineering Statistics Actuarial science Survival analysis
283	THE ANTITRUST LOGIT MODEL FOR PREDICTING UNILATERAL COMPETITIVE EFFECTS Gregory J. Werden Luke M. Froeb* We briefly present the Antitrust Logit Model (ALM)1 and explain the constructive role it can play in the analysis o Add to Reading List Source URL: www2.owen.vanderbilt.edu Language: English - Date: 2007-05-10 15:55:59 Elasticity Competition law Microeconomics Price elasticity of demand Cross elasticity of demand Choice modelling Independence of irrelevant alternatives United States antitrust law Relevant market Economics Consumer theory Demand
284	P1: FJJ/Shraban WV006-01 February 16, [removed]:54 Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2015-02-10 12:02:04 Logistic regression Linear regression Sampling Logistic function Dummy variable Multinomial logit Statistics Regression analysis Econometrics
285	Notes on Random Fields for Object Recognition Yaroslav Bulatov August 6, 2010 Abstract Suppose you do per-node labeling in graphical model using k-step belief Add to Reading List Source URL: yaroslavvb.com Language: English - Date: 2011-04-30 01:47:59 Differential calculus Functions and mappings Derivative Gradient Logit Mathematical analysis Calculus Mathematics
286	Ph.D. Course Econometric Methods for Education Economics Prof. Dr. Rainer Winkelmann (University of Zurich) University of Zurich, November 2 – 6, 2009 Add to Reading List Source URL: www.educationeconomics.uzh.ch Language: English - Date: 2013-07-18 04:51:15 Regression analysis Limited dependent variable Instrumental variable Linear regression Endogeneity Multinomial logit Probit Parameter identification problem Outline of regression analysis Econometrics Statistics Economics
287	Biophysics 101: Modeling Group Modeling Software Documentation Alex Lupsasca December[removed]Introduction Add to Reading List Source URL: openwetware.org Language: English - Date: 2009-12-18 12:31:45 Categorical data Logistic regression Logit Linear regression Multinomial logit Discrete choice Statistics Regression analysis Econometrics
288	Generalized linear models and software for network meta-analysis Sofia Dias & Gert van Valkenhoef Tufts University, Boston MA, USA, June 2012 Add to Reading List Source URL: drugis.org Language: English - Date: 2013-12-04 08:49:53 Econometrics Categorical data Statistical models Generalized linear model Logit Linear regression Statistics Regression analysis Actuarial science
289	This is a pre-publication version of the following article: Add to Reading List Source URL: eprints.uwe.ac.uk Language: English - Date: 2011-09-27 08:56:00 Regression analysis Dummy variable Mathematical model Linear regression Heterogeneity in economics Multinomial logit Discrete choice Instrumental variable Economic model Statistics Economics Econometrics
290	LTA in Mplus: Transition probabilities influenced by covariates Bengt Muth´en & Tihomir Asparouhov Mplus Web Notes: No. 13 July 27, 2011 Add to Reading List Source URL: www.statmodel.com Language: English - Date: 2011-07-27 16:21:45 Categorical data Multinomial logit Logistic regression Logit Linear regression Odds ratio Statistics Regression analysis Econometrics

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