Logistic regression

Results: 1506



#Item
771Bayesian inference / Statistical models / Model selection / Bayes factor / Generalized linear model / Stepwise regression / Logistic regression / Bayesian information criterion / Bayesian network / Statistics / Regression analysis / Bayesian statistics

Statistical Science 1999, Vol. 14, No. 4, 382–417 Bayesian Model Averaging: A Tutorial Jennifer A. Hoeting, David Madigan, Adrian E. Raftery and Chris T. Volinsky

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Source URL: www.iipl.fudan.edu.cn

Language: English - Date: 2013-06-02 21:56:20
772Statistical methods / Econometrics / Evaluation methods / Research methods / R / Logistic regression / Sampling / Predictive analytics / Statistics / SPSS / Regression analysis

i IBM SPSS Complex Samples 20 Note: Before using this information and the product it supports, read the general information under Notices on p. 266.

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Source URL: public.dhe.ibm.com

Language: English - Date: 2011-10-14 17:41:06
773Predictive analytics / Stepwise regression / Logistic regression / SPSS / Multinomial logit / Linear regression / Regression / Linear discriminant analysis / Probit / Statistics / Regression analysis / Econometrics

i IBM SPSS Regression 20 Note: Before using this information and the product it supports, read the general information under Notices on p. 41.

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Source URL: public.dhe.ibm.com

Language: English - Date: 2011-10-14 17:41:03
774MiO / Malang / Logistic regression / Indonesia / Asia / Indonesian National Awakening / Islam in Indonesia / Muhammadiyah

ANALISIS PENGARUH BAURAN PEMASARAN TERHADAP PILIHAN MEREK SEPEDA MOTOR JENIS MATIC MIO (Studi Pada Mahasiswa Universitas Muhammadiyah Malang Kampus III) Oleh: ABDUL HAQQI MULTAZAM[removed]Management Dibuat: [removed]-

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Source URL: eprints.umm.ac.id

Language: English - Date: 2012-05-09 03:18:04
775Econometrics / Linear regression / Empirical Bayes method / Logistic regression / Least squares / Maximum likelihood / Expectation–maximization algorithm / Supervised learning / Book:Machine Learning - The Complete Guide / Statistics / Regression analysis / Estimation theory

Empirical Bayes Estimates of Parameters from the Logistic Regression Model

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Source URL: act.org

Language: English - Date: 2015-01-06 13:08:28
776Economics / Finance / Government / Business / Bank regulation / Logistic regression / Subprime mortgage crisis / Federal Deposit Insurance Corporation / Federal Reserve System / Bank regulation in the United States / Categorical data / CAMELS ratings

Are the Causes of Bank Distress Changing? Can Researchers Keep Up?

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Source URL: research.stlouisfed.org

Language: English - Date: 2009-06-04 15:26:56
777Mathematics / Differential item functioning / Educational research / Psychological testing / Regression analysis / Equating / Logistic regression / Variable / DIF / Education / Statistics / Psychometrics

Application of a Polynomial Loglinear Model to Assessing Differential Item Functiong for Common Items in the Common-Item Equating Design

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Source URL: act.org

Language: English - Date: 2015-01-06 13:08:28
778Maximum likelihood / Fisher information / Exponentiation / Identifiability / Poisson regression / Parametric model / Estimation theory / Statistics / Statistical theory

Presented at NIPS-2006 conference December 2006; Vancouver, BC, Canada High-Dimensional Graphical Model Selection Using ℓ1-Regularized Logistic Regression Martin J. Wainwright

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Source URL: www.cs.cmu.edu

Language: English - Date: 2007-01-25 11:48:23
779Statistical theory / Categorical data / Regression analysis / Maximum likelihood / Feature selection / Logistic regression / Likelihood function / Gibbs sampling / Expectation–maximization algorithm / Statistics / Estimation theory / M-estimators

On Learning Discrete Graphical Models Using Greedy Methods Christopher C. Johnson University of Texas at Asutin [removed]

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Source URL: www.cs.utexas.edu

Language: English - Date: 2011-10-28 19:06:37
780Graphical models / Theoretical computer science / Image processing / Segmentation / Mixture model / Conditional random field / Loss function / Linear regression / Regression analysis / Statistics / Econometrics / Machine learning

The Logistic Random Field – A Convenient Graphical Model for Learning Parameters for MRF-based Labeling Marshall F. Tappen, Kegan G. G. Samuel, Craig V. Dean, David M. Lyle University of Central Florida School of Elect

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Source URL: www.eecs.ucf.edu

Language: English - Date: 2008-06-17 17:00:32
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