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Generalized linear model
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271	Hindawi Publishing Corporation Computational and Mathematical Methods in Medicine Volume 2012, Article ID[removed], 9 pages doi:[removed][removed]Research Article Add to Reading List Source URL: downloads.hindawi.com Language: English - Date: 2014-03-26 09:51:16 Statistical models Econometrics Actuarial science Proportional hazards models Linear regression Statistical power Generalized linear model Logistic regression Akaike information criterion Statistics Regression analysis Survival analysis
272	2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing Reconstruction of a Generalized Joint Sparsity Model Using Principal Component Analysis Alireza Makhzani Add to Reading List Source URL: www.comm.utoronto.ca Language: English - Date: 2011-12-23 17:11:10 Signal processing Multivariate statistics Linear algebra Singular value decomposition Information theory Compressed sensing Matching pursuit Principal component analysis Sparse approximation Algebra Mathematics Statistics
273	Biometrics 68, 23–30 March 2012 DOI: [removed]j[removed]01645.x Dynamic Logistic Regression and Dynamic Model Averaging Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-05-12 17:30:28 Actuarial science Bayesian statistics Statistical models Linear regression Generalized linear model Logistic regression Hidden Markov model Bayesian inference Bayes factor Statistics Regression analysis Econometrics
274	Advance Access publication December 30, 2010 Political Analysis[removed]:20–31 doi:[removed]pan/mpq033 An Empirical Bayes Approach to Estimating Ordinal Add to Reading List Source URL: brennan.3cdn.net Language: English - Date: 2011-08-10 13:14:03 Estimation theory Statistical models Actuarial science Logistic regression Generalized linear model Dummy variable Linear regression Level of measurement Estimator Statistics Regression analysis Econometrics
275	Generalized Linear Models: A subclass of nonlinear models with a \linear" component Data: % Add to Reading List Source URL: www.public.iastate.edu Language: English - Date: 2003-04-23 08:10:42 Poisson processes Exponentials Generalized linear model Poisson regression Exponential family Maximum likelihood Poisson distribution Gamma distribution Normal distribution Statistics Regression analysis Statistical theory
276	Introduction to Generalized Linear Models Heather Turner ESRC National Centre for Research Methods, UK and Department of Statistics University of Warwick, UK Add to Reading List Source URL: statmath.wu.ac.at Language: English - Date: 2008-04-23 12:28:24 General linear model Generalized additive model for location scale and shape Statistics Regression analysis Generalized linear model
277	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 Add to Reading List Source URL: www.iipl.fudan.edu.cn Language: English - Date: 2013-06-02 21:56:20 Bayesian inference Statistical models Model selection Bayes factor Generalized linear model Stepwise regression Logistic regression Bayesian information criterion Bayesian network Statistics Regression analysis Bayesian statistics
278	i IBM SPSS Advanced Statistics 20 Note: Before using this information and the product it supports, read the general information under Notices on p. 166. Add to Reading List Source URL: public.dhe.ibm.com Language: English - Date: 2011-10-14 17:41:07 Statistical methods Actuarial science Analysis of variance SPSS Generalized estimating equation Generalized linear model Predictive analytics Data analysis Multivariate analysis Statistics Regression analysis Statistical models
279	Microsoft Word - Klinker_FINA w copyright statementL.docx Add to Reading List Source URL: www.casact.org Language: English - Date: 2011-03-02 11:08:59 Mixed model Linear regression General linear model Random effects model Variance Covariance Least squares Best linear unbiased prediction Gauss–Markov theorem Statistics Regression analysis Generalized linear model
280	Parameterization and Bayesian Modeling Andrew G ELMAN Progress in statistical computation often leads to advances in statistical modeling. For example, it is surprisingly common that an existing model is reparameterized, Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2005-08-15 15:32:42 Statistical models Estimation theory Statistical theory Linear regression Bayesian linear regression Mixture model Expectation–maximization algorithm Gibbs sampling Generalized linear model Statistics Regression analysis Bayesian statistics

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