Multinomial logistic regression

Results: 161



#Item
410.1  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

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

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Source URL: perso.md2t.eu

Language: English - Date: 2011-03-08 17:52:46
42Modeling Basketball’s Points per Possession With Application to Predicting the Outcome of College Basketball Games Ryan J. Parker  College of Charleston

Modeling Basketball’s Points per Possession With Application to Predicting the Outcome of College Basketball Games Ryan J. Parker College of Charleston

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Source URL: www.basketballgeek.com

Language: English - Date: 2010-05-05 14:22:44
43Simulation Based Estimation of Multinomial Discrete Choice Model with Fixed Effects Mian Huang∗ Universidad Carlos III de Madrid  This version: October 2014

Simulation Based Estimation of Multinomial Discrete Choice Model with Fixed Effects Mian Huang∗ Universidad Carlos III de Madrid This version: October 2014

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Source URL: mianhuang.weebly.com

Language: English - Date: 2014-10-31 05:05:04
44MOOC Research Initiative Final Report Project Title: Peer Assessment and Academic Achievement in a Gateway MOOC Project Details Project Lead: Mark Warschauer

MOOC Research Initiative Final Report Project Title: Peer Assessment and Academic Achievement in a Gateway MOOC Project Details Project Lead: Mark Warschauer

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Source URL: www.moocresearch.com

Language: English - Date: 2014-06-03 10:02:35
45A compositional approach to sociophonetic variation Daniel Ezra Johnson, Lancaster University Carmen Llamas, University of York Dominic Watt, University of York

A compositional approach to sociophonetic variation Daniel Ezra Johnson, Lancaster University Carmen Llamas, University of York Dominic Watt, University of York

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Source URL: www.danielezrajohnson.com

Language: English - Date: 2014-10-04 19:18:22
46Correlated Component Regression (CCR) Use this module to model and predict a designated dependent variable Y (continuous or dichotomous) from a set of P correlated explanatory variables (predictors) X = (X1, X2, … , XP

Correlated Component Regression (CCR) Use this module to model and predict a designated dependent variable Y (continuous or dichotomous) from a set of P correlated explanatory variables (predictors) X = (X1, X2, … , XP

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Source URL: www.statisticalinnovations.com

Language: English - Date: 2011-09-22 15:25:17
47CHAPTER 5. BASIC STEPS  FOR MODEL DEVELOPMENT

CHAPTER 5. BASIC STEPS FOR MODEL DEVELOPMENT

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Source URL: www.statisticalinnovations.com

Language: English - Date: 2009-05-18 08:50:19
48Removing the Scale Factor Confound in Multinomial Logit Choice Models to Obtain Better Estimates of Preference1 Jay Magidson Statistical Innovations Inc. Jeroen K. Vermunt

Removing the Scale Factor Confound in Multinomial Logit Choice Models to Obtain Better Estimates of Preference1 Jay Magidson Statistical Innovations Inc. Jeroen K. Vermunt

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Source URL: www.statisticalinnovations.com

Language: English - Date: 2008-09-23 15:42:55
49Subject index A abbreviating commands . . . . . . . . . . . . . 19 ado-files . . . . . . . . . . . . . . . . . . . . . . . . . 9, 446 ado uninstall command . . . . . . . . . . . . 9 AICsee Akaike information crite

Subject index A abbreviating commands . . . . . . . . . . . . . 19 ado-files . . . . . . . . . . . . . . . . . . . . . . . . . 9, 446 ado uninstall command . . . . . . . . . . . . 9 AICsee Akaike information crite

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Source URL: www.stata-press.com

Language: English - Date: 2005-12-06 15:51:02
50Contents List of figures xix  Preface

Contents List of figures xix Preface

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Source URL: www.stata-press.com

Language: English - Date: 2014-09-03 10:26:50