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Categorical variable
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151	[removed]Lab 5 Preview The purpose of ANCOVA is to model separate regression lines for different groups of subjects as defined by a categorical IV. In the simpler, “no-interaction” version, this allows us to compare tr Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-09-09 10:34:45 Analysis of variance Statistical models Dummy variable Statistical methods Interaction Linear regression Analysis of covariance Standardized coefficient SPSS Statistics Regression analysis Econometrics
152	EASTERN REGION TECHNICAL ATTACHMENT NO[removed]AUGUST, 1998 A LOCAL LARGE HAIL PROBABILITY EQUATION FOR COLUMBIA, SC Add to Reading List Source URL: www.erh.noaa.gov Language: English - Date: 2003-08-15 09:38:37 Regression analysis Econometrics Radar meteorology Weather radars Categorical data Logistic regression Linear regression Variable NEXRAD Statistics Meteorology Atmospheric sciences
153	Let Y denote the binary response variable. Logistic Regression Models for Classification of Protein Binding Ligands G.A. Iresha Premarathna, Leif Ellingson Department of Mathematics and Statistics Texas Tech University Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-30 16:22:48 Econometrics Chemical bonding Categorical data Cell signaling Logistic regression Ligand Linear regression Odds ratio Statistics Chemistry Regression analysis
154	PDF Document Add to Reading List Source URL: www.cbcd.bbk.ac.uk Language: English - Date: 2012-02-06 05:13:46 Multivariate statistics Structural equation models Categorical data Latent class model Latent growth modeling Structural equation modeling Mixture model Generalized method of moments Latent variable model Statistics Statistical models Econometrics
155	PDF Document Add to Reading List Source URL: www.stat.ufl.edu Language: English - Date: 2012-03-12 11:28:43 Categorical data Econometrics Estimation theory Logit Logistic regression Generalized linear model Probit Dummy variable Mixed logit Statistics Regression analysis Statistical models
156	PDF Document Add to Reading List Source URL: www.stat.ufl.edu Language: English - Date: 2012-04-30 16:22:35 Categorical data Regression analysis Latent class model Rasch model Expectation–maximization algorithm Latent variable model Inter-rater reliability Mixture model Logistic regression Statistics Statistical models Psychometrics
157	PDF Document Add to Reading List Source URL: www.stat.ufl.edu Language: English - Date: 2012-03-12 11:05:34 Statistical models Categorical data Actuarial science Multinomial logit Generalized linear model Logistic regression Dummy variable Ordered logit Probit model Statistics Regression analysis Econometrics
158	PDF Document Add to Reading List Source URL: www.melbourneinstitute.com Language: English - Date: 2013-12-04 17:32:07 Categorical data Statistical models Single equation methods Dummy variable Logistic regression Logit Linear probability model Odds ratio Probit Statistics Regression analysis Econometrics
159	PDF Document Add to Reading List Source URL: personal.lse.ac.uk Language: English - Date: 2014-04-29 07:14:12 Statistical models Categorical data Seat belt legislation Traffic law Instrumental variable Bayesian network Logistic regression Bayes factor Statistics Regression analysis Econometrics

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