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Categorical variable
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#	Item
31	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
32	International Real Estate Society Conference 1999 Co-sponsors: Pacific Rim Real Estate Society (PRRES) Asian Real Estate Society (AsRES) Kuala Lumpur, 26-30 JanuaryESTIMATING THE PROBABILITY OF A FIRST, SECOND OR Add to Reading List Source URL: www.prres.net Language: English - Date: 2012-09-18 04:16:12 Categorical data Real estate Urban economics Dummy variable Logistic regression Ordered probit Real estate economics Probit Logit Statistics Regression analysis Econometrics
33	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
34	Harmonium Models for Semantic Video Representation and Classication Jun Yang Yan Liu∗ Eric X. Ping Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-04-27 11:41:08 Statistical models Regression analysis Probabilistic latent semantic analysis Latent Dirichlet allocation Expectation–maximization algorithm Dummy variable Linear discriminant analysis Gibbs sampling Semantics Statistics Statistical natural language processing Categorical data
35	Microsoft Word - OSW_Online_Appendices Add to Reading List Source URL: ockenfels.uni-koeln.de Language: English - Date: 2014-05-02 10:54:02 Dummy variable Regression analysis Ordered probit Probit Jewish population of South Africa Statistics Econometrics Categorical data
36	Presidential votes homework Download the data from the class website. The data contains a survey of how people voted with data for many election years. Let’s focus on the 2000 election. We can use the keep or drop c Add to Reading List Source URL: mason.gmu.edu Language: English - Date: 2006-04-11 10:12:49 Categorical data Actuarial science Single equation methods Logit Linear regression Probit Logistic regression Dummy variable Statistics Regression analysis Econometrics
37	Subject index A abbreviating commands . . . . . . . . . . . . . 19 ado-files . . . . . . . . . . . . . . . . . . . . . . . . . 9, 446 ado uninstall command . . . . . . . . . . . . 9 AICsee Akaike information crite Add to Reading List Source URL: www.stata-press.com Language: English - Date: 2005-12-06 15:51:02 Categorical data Statistical models Data analysis Multinomial logit Logistic regression Logit Multinomial probit Binomial regression Dummy variable Statistics Regression analysis Econometrics
38	Latent Class Analysis Jeroen K. Vermunt & Jay Magidson The basic idea underlying latent class (LC) analysis is a very simple one: some of the parameters of a postulated statistical model differ across unobserved subgroup Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:11:48 Econometrics Categorical data Multivariate statistics Latent class model Expectation–maximization algorithm Latent variable model Structural equation modeling Logistic regression Mixture model Statistics Regression analysis Statistical models
39	Using Heterogeneous Choice Models To Compare Logit and Probit Coefficients Across Groups Revised March 2009* Richard Williams, * A final version of this paper appears in Sociological Methods and Research Add to Reading List Source URL: www3.nd.edu Language: English - Date: 2012-08-13 18:28:10 Data analysis Categorical data Statistical models Probit Limited dependent variable Logistic regression Logit Heteroscedasticity Linear regression Statistics Regression analysis Econometrics
40	Computational Statistics & Data Analysis – 537 www.elsevier.com/locate/csda Latent class models for classi%cation Jeroen K. Vermunta;∗ , Jay Magidsonb a Department Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-07-22 15:03:17 Categorical data Statistical models Machine learning Latent class model Logistic regression Latent variable Linear regression Supervised learning Naive Bayes classifier Statistics Regression analysis Econometrics

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