Random effects model

Results: 127



#Item
51Estimation theory / Statistical models / Model selection / Random effects model / Bayesian information criterion / Likelihood function / Mixed model / Fixed effects model / Statistics / Regression analysis / Analysis of variance

Mixed Model Selection via Profile Log-likelihood Juming Pan, Junfeng Shang Bowling Green State University, Ohio, USA Mixed models accommodating both fixed effects and random effects are widely utilized to describe the c

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Source URL: www.stat.wmich.edu

Language: English - Date: 2015-03-09 20:47:32
52Random Effects in AD Model Builder ADMB-RE User Guide Version[removed]) Revised manual[removed])

Random Effects in AD Model Builder ADMB-RE User Guide Version[removed]) Revised manual[removed])

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Source URL: ftp.admb-project.org

Language: English - Date: 2015-01-07 15:48:36
53Panel Data 3: Conditional Logit/ Fixed Effects Logit Models Richard Williams, University of Notre Dame, http://www3.nd.edu/~rwilliam/ Last revised February 21, 2015 These notes borrow very heavily, sometimes verbatim, fr

Panel Data 3: Conditional Logit/ Fixed Effects Logit Models Richard Williams, University of Notre Dame, http://www3.nd.edu/~rwilliam/ Last revised February 21, 2015 These notes borrow very heavily, sometimes verbatim, fr

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Source URL: www3.nd.edu

Language: English - Date: 2015-02-21 12:12:03
54Random Effects in AD Model Builder ADMB-RE User Guide Version[removed]) Revised manual[removed])

Random Effects in AD Model Builder ADMB-RE User Guide Version[removed]) Revised manual[removed])

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Source URL: ftp.admb-project.org

Language: English - Date: 2015-01-07 15:48:36
55UNHAPPY CITIES by Edward L. Glaeser Harvard University and NBER Joshua D. Gottlieb University of British Columbia

UNHAPPY CITIES by Edward L. Glaeser Harvard University and NBER Joshua D. Gottlieb University of British Columbia

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Source URL: isites.harvard.edu

Language: English
56Generalised Linear Mixed Models in action: potentials and limitations Gianfranco LOVISON  Universita` degli Studi di Palermo - Italia

Generalised Linear Mixed Models in action: potentials and limitations Gianfranco LOVISON Universita` degli Studi di Palermo - Italia

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Source URL: www.swisstph.ch

Language: English - Date: 2014-02-26 08:39:16
57The Central Role of Noise in Evaluating Interventions That Use Test Scores to Rank Schools By KENNETH Y. CHAY, PATRICK J. MCEWAN, AND

The Central Role of Noise in Evaluating Interventions That Use Test Scores to Rank Schools By KENNETH Y. CHAY, PATRICK J. MCEWAN, AND

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Source URL: academics.wellesley.edu

Language: English - Date: 2005-08-30 15:50:52
58Understanding Variability in Multilevel Models for Categorical Responses Outline  Two-level logistic random-intercept model (1: students, 2: schools)  Measures of residual variability and dependence

Understanding Variability in Multilevel Models for Categorical Responses Outline  Two-level logistic random-intercept model (1: students, 2: schools)  Measures of residual variability and dependence

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Source URL: www.gllamm.org

Language: English - Date: 2012-04-18 21:13:56
59Stat[removed]Oehlert): Restricted Model Assumptions in Mixed Models  1 > # We now want to explore how we might use restricted model assumptions. Recall that

Stat[removed]Oehlert): Restricted Model Assumptions in Mixed Models 1 > # We now want to explore how we might use restricted model assumptions. Recall that

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Source URL: users.stat.umn.edu

Language: English - Date: 2014-03-09 21:48:13
60Stat 511 HW#10 Spring[removed]corrected) 1. Below is a small set of fake unbalanced 2-way factorial (in factors A and B) data from 2 (unbalanced) blocks. Level of A 1 1

Stat 511 HW#10 Spring[removed]corrected) 1. Below is a small set of fake unbalanced 2-way factorial (in factors A and B) data from 2 (unbalanced) blocks. Level of A 1 1

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Source URL: www.public.iastate.edu

Language: English - Date: 2003-04-25 14:15:00