Categorical variable

Results: 187



#Item
111Categorical data / Statistical models / Actuarial science / Logistic regression / Dummy variable / Ordered logit / Probit / Linear regression / Logit / Statistics / Regression analysis / Econometrics

SUGI 27 Statistics and Data Analysis Paper[removed]

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Source URL: www2.sas.com

Language: English - Date: 2002-03-04 14:55:57
112Data analysis / Probability and statistics / Categorical data / Logistic regression / Burroughs MCP / Normal distribution / Probit / Probability distribution / Variable / Statistics / Econometrics / Regression analysis

Understanding & Interpreting the Effects of Continuous Variables: The MCP Command References: “marginscontplot: Plotting the marginal effects of continuous predictors”, by Patrick Royston. Stata Journal Volume 13 Num

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Source URL: www3.nd.edu

Language: English - Date: 2015-01-09 11:43:14
113Categorical data / Statistical models / Economic model / Autoregressive conditional heteroskedasticity / Logistic regression / Dummy variable / Logit / Statistics / Regression analysis / Econometrics

MAGAZINE PRICES REVISITED Jonathan L. Willis DECEMBER 2001 RWP[removed]Research Division

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Source URL: www.kansascityfed.org

Language: English - Date: 2010-07-22 17:17:04
114Scientific method / Level of measurement / Measurement / Scale / Ordinal number / Variable / Categorical data / Data analysis / Statistics / Science / Information

Trim size: 170mm x 244mm Bowers c01.tex V2[removed]

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Source URL: media.wiley.com

Language: English - Date: 2014-09-08 07:15:50
115Econometrics / Statistical tests / Logistic regression / Actuarial science / Odds / Chi-squared distribution / Contingency table / Probability distribution / Goodness of fit / Statistics / Categorical data / Regression analysis

[removed]Lab 10 Preview The chi square test of independence can be used to test whether or not the distribution of the levels of one categorical variable is related to vs. independent from the levels of another catego

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Source URL: www.stat.cmu.edu

Language: English - Date: 2013-11-05 13:35:05
116Categorical data / Statistical models / Actuarial science / Logistic regression / Dummy variable / Logit / Generalized linear model / Odds / Probability distribution / Statistics / Regression analysis / Econometrics

[removed]Lecture 10: Categorical Outcomes[removed]

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Source URL: www.stat.cmu.edu

Language: English - Date: 2014-11-07 16:45:48
117Analysis of variance / Econometrics / Statistical models / Interaction / Dummy variable / Dependent and independent variables / SPSS / Economic model / Two-way analysis of variance / Statistics / Regression analysis / Design of experiments

Lab 6 Preview The purpose of 2-way (between-subjects) ANOVA is to model the effects of two (or more, for multiway ANOVA) categorical explanatory variables on a continuous outcome simultaneously. For each combination of l

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Source URL: www.stat.cmu.edu

Language: English - Date: 2014-09-20 12:42:17
118Categorical data / Statistical models / Actuarial science / Hedonic regression / Dummy variable / Logistic regression / Logit / Statistics / Econometrics / Regression analysis

Evaluating Public Open Space Preservation Priorities Erik E. Nordman Grand Valley State University, Allendale, Michigan Email: [removed] Acknowledgements The author thanks Dennis Cole and the Town of Brookhaven f

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Source URL: www.safnet.org

Language: English - Date: 2012-12-06 08:25:27
119Machine learning / Categorical data / Logistic regression / Degrees of freedom / Cross-validation / Statistics / Regression analysis / Econometrics

Package ‘stepPlr’ July 2, 2014 Version 0.92 Date[removed]Title L2 penalized logistic regression with a stepwise variable selection Author Mee Young Park, Trevor Hastie

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 16:37:29
120Categorical data / Medical statistics / Epidemiology / Logistic regression / Relative risk / Logit / Odds ratio / Dummy variable / Linear regression / Statistics / Regression analysis / Econometrics

6. UNCONDITIONAL LOGISTIC REGRESSION FOR LARGE STRATA 6.1 Introduction to the logistic model

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Source URL: www.iarc.fr

Language: English - Date: 2012-04-27 07:12:51
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