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Akaike information criterion
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101	Supplement of Biogeosciences, 12, 1833–1848, 2015 http://www.biogeosciences.netdoi:bgsupplement © Author(sCC Attribution 3.0 License. Supplement of Add to Reading List Source URL: www.biogeosciences.net Language: English - Date: 2015-03-20 10:39:36 Model selection Rain Normal distribution Bimodal distribution Dynamic global vegetation model Precipitation Regression analysis Statistics Econometrics Akaike information criterion
102	Reliability Digest, NovemberApplication of Multi-Model Combinations to Evaluate the Program Size Variation of Open Source Software Shih-Min Huang Add to Reading List Source URL: rs.ieee.org Language: English - Date: 2014-11-17 21:02:19 Materials science Reliability engineering Software quality Survival analysis Systems engineering Systems science Akaike information criterion Software development effort estimation Statistics Design for X Failure
103	JIMAR, PFRP ANNUAL PROGRESS REPORT: FYApril 2003 P.I. Name: Benjamin Bolker Project Proposal Title: Development of a hierarchical model to estimate sea turtle rookery contributions to mixed stocks in foraging ha Add to Reading List Source URL: www.soest.hawaii.edu Language: English - Date: 2006-08-22 14:56:28 Deviance information criterion Hierarchical Bayes model Ecology Rookery Statistical power Akaike information criterion Bayes factor Statistics Bayesian statistics Model selection
104	These terms and conditions apply to the use of this web site Add to Reading List Source URL: www.msq.org.au Language: English - Date: 2010-06-21 08:46:20 Computing Technology Akaike information criterion Model selection Privacy policy HTTP cookie Privacy World Wide Web Website Ethics Internet privacy Internet ethics
105	Developmental Science 16:), pp 476–483 DOI: descSHORT REPORT Cultural differences in the development of processing speed Add to Reading List Source URL: www.psy.cuhk.edu.hk Language: English - Date: 2013-05-23 23:26:53 Intelligence Model selection Statistical methods Mental chronometry Akaike information criterion Intelligence quotient G factor Structural equation modeling Working memory Statistics Psychometrics Intelligence tests
106	Logistic regression (with R) Christopher Manning 4 November Add to Reading List Source URL: www-nlp.stanford.edu Language: English - Date: 2007-11-14 02:47:21 Model selection Actuarial science Deviance Hypothesis testing Logistic regression Logit Akaike information criterion Logistic function Degrees of freedom Statistics Categorical data Regression analysis
107	Discussion of Session 3 Chaired byAndr6 Punt CSIRO Division of Marine Research GPO Box 1538, Hobart JASRecorded by Robin Thompson Add to Reading List Source URL: www.asfb.org.au Language: English Statistical inference Statistical theory Philosophy of science Model selection Bayesian probability Economic model Bayesian inference Conceptual model Akaike information criterion Statistics Science Bayesian statistics
108	Department of Electrical and Computer Systems Engineering Technical Report MECSE Add to Reading List Source URL: www.ecse.monash.edu.au Language: English - Date: 2004-10-26 00:29:04 Statistical theory Regression analysis RANSAC Bayesian inference Least squares Bayesian information criterion Akaike information criterion Outlier Homography Statistics Robust statistics Model selection
109	Microsoft Word - Online supplement_18OCT_.docx Add to Reading List Source URL: www.paleosoc.org Language: English - Date: 2010-12-19 20:49:48 Econometrics Market research Measurement Psephology Akaike information criterion Sampling Statistics Statistical inference Confidence interval
110	Chapter 1 A Simple, Linear, Mixed-effects Model In this book we describe the theory behind a type of statistical model called mixed-effects models and the practice of fitting and analyzing such models Add to Reading List Source URL: lme4.r-forge.r-project.org Language: English - Date: 2010-02-17 16:30:25 Estimation theory Model selection Statistical models Restricted maximum likelihood F-test Mixed model Akaike information criterion Degrees of freedom Random effects model Statistics Analysis of variance Regression analysis

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