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Bayesian information criterion
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#	Item
111	A Bayesian Software Estimating Model Using a Generalized g-Prior Approach Sunita Chulani Research Assistant Center for Software Engineering University of Southern California Add to Reading List Source URL: sunset.usc.edu Language: English - Date: 2000-04-06 05:33:13 Software project management COCOMO Software development effort estimation Cost estimation in software engineering Linear regression Akaike information criterion Least squares Estimation theory Barry Boehm Statistics Regression analysis Econometrics
112	Microsoft Word - 04_Oliveri.doc Add to Reading List Source URL: www.psychologie-aktuell.com Language: English - Date: 2011-09-27 03:42:58 Item response theory Rasch model Programme for International Student Assessment Akaike information criterion Level of measurement Scale Economic model Bayesian information criterion Rasch Statistics Psychometrics Education
113	Understanding predictive information criteria for Bayesian models∗ Andrew Gelman†, Jessica Hwang‡, and Aki Vehtari§ 14 Aug 2013 Abstract We review the Akaike, deviance, and Watanabe-Akaike information criteria fro Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2013-08-14 15:26:41 Machine learning Bayesian statistics Regression analysis Deviance information criterion Maximum likelihood Cross-validation Fisher information Akaike information criterion Bayesian information criterion Statistics Estimation theory Model selection
114	Package ‘AICcmodavg’ October 17, 2014 Type Package Title Model Selection and Multimodel Inference Based on (Q)AIC(c) Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-17 13:51:55 Akaike information criterion Regression analysis Bayesian statistics Statistical inference AICC Aviation Industry Computer-Based Training Committee Generalized linear model Conceptual model Quasi-likelihood Statistics Statistical models Model selection
115	RESEARCH REPORT SERIES (Statistics #[removed]A Useful Algebraic System of Statistical Models Ben Klemens Center for Statistical Research & Methodology Add to Reading List Source URL: www.census.gov Language: English - Date: 2014-07-29 13:37:51 Estimation theory Regression analysis Bayesian statistics Maximum likelihood Likelihood-ratio test Akaike information criterion Generalized linear model Likelihood function Normal distribution Statistics Statistical theory Statistical models
116	Package ‘GRaF’ July 2, 2014 Type Package Title Species distribution modelling using latent Gaussian random fields Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 09:50:56 Degrees of freedom Deviance information criterion Normal distribution Credible interval Survival analysis Econometrics Statistics Bayesian statistics Regression analysis
117	Package ‘flexmix’ September 24, 2014 Type Package Title Flexible Mixture Modeling Version[removed]Description FlexMix implements a general framework for finite Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-24 11:27:12 Regression analysis Econometrics Statistical inference Bootstrapping Akaike information criterion Bayesian information criterion Binomial regression Mixture model Expectation–maximization algorithm Statistics Categorical data Model selection
118	Package ‘rjags’ July 2, 2014 Version 3-13 Date[removed]Title Bayesian graphical models using MCMC Depends R (>= 2.14.0), coda (>= 0.13) Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-27 13:35:05 Graphical models Deviance information criterion Cross-platform software Gibbs sampling Artificial neuron Functional Markov chain JavaScript Deviance Statistics Bayesian statistics Markov models
119	RML Condition 35 Compliance Report.pdf Add to Reading List Source URL: www.deq.utah.gov Language: English - Date: 2014-07-01 11:24:42 Akaike information criterion Model selection Parameter Prior probability Normal distribution Statistical theory Statistical models Probability box Statistical parameter Statistics Probability and statistics Bayesian statistics
120	1032 A Bayesian hierarchical analysis of stock–recruit data: quantifying structural and parameter uncertainties Catherine G.J. Michielsens and Murdoch K. McAllister Add to Reading List Source URL: www.psc.org Language: English - Date: 2011-08-22 18:35:24 Deviance information criterion Normal distribution Prior probability Log-normal distribution Gamma distribution Bayesian inference Likelihood function Ricker model Statistics Bayesian statistics Probability and statistics

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