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Model selection
Results: 1077

#	Item
431	AIC SERVICE AIC CASE STUDY Add to Reading List Source URL: ausicom.com Language: English - Date: 2011-02-08 01:40:27 Market Intelligence Market research Akaike information criterion Model selection
432	Tadpole writeup Ben Bolker July 30, 2012 Contents 1 Summary Add to Reading List Source URL: groups.nceas.ucsb.edu Language: English - Date: 2012-09-21 18:43:35 Model selection Bayesian statistics M-estimators Akaike information criterion ADMB Maximum likelihood Likelihood-ratio test Limited-memory BFGS Likelihood function Statistics Estimation theory Statistical theory
433	Examination of the performance of the Bishop & Abramowitzindependence coefficients for model selection – an idealized experiment The method of Bishop and Abramowitzwas designed to assign weights accordi Add to Reading List Source URL: www.geosci-model-dev.net Language: English - Date: 2014-12-04 04:36:54 Statistical methods Covariance matrix Matrices Variance Covariance Correlation and dependence Design of experiments Kalman filter Linear regression Statistics Data analysis Covariance and correlation
434	Materials for Constitutional Convention Update Purpose The purpose of this update is to determine whether there is member agreement on updating the Delegate Selection portion of the League 1993 Constitutional Convention Add to Reading List Source URL: www.lwvny.org Language: English - Date: 2015-01-27 14:06:34 Government Australian constitutional law Constitutional Convention Delegate Referendum United States Constitution Constitution of Alaska Process model United States Politics Republicanism in Australia
435	Services of Deutscher Wetterdienst for SPP1167 G. Adrian, Forschung und Entwicklung 4 September 2003 Add to Reading List Source URL: www.ncmrwf.gov.in Language: English - Date: 2014-03-21 03:31:34 Model selection Philosophy of science Bayes factor Bayesian probability Statistics Bayesian statistics Bayesian inference
436	The ABC of Model Selection: AIC, BIC and the New CIC Carlos C. Rodríguez Department of Mathematics and Statistics The University at Albany, SUNY Albany, NY Add to Reading List Source URL: omega.albany.edu Language: English - Date: 2005-09-22 15:53:29 Estimation theory Akaike information criterion Bayesian statistics Bayesian information criterion Fisher information Loss function Parametric model Principle of maximum entropy Statistics Statistical theory Model selection
437	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 Add to Reading List Source URL: www.stat.wmich.edu Language: English - Date: 2015-03-09 20:47:32 Estimation theory Statistical models Model selection Random effects model Bayesian information criterion Likelihood function Mixed model Fixed effects model Statistics Regression analysis Analysis of variance
438	Microsoft Word - comment_on_HRT_RSS_102406.doc Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2008-05-20 22:04:54 Bayesian inference Cluster analysis Statistical models Expectation–maximization algorithm Latent class model Mixture model Bayes factor Exponential random graph models Akaike information criterion Statistics Model selection Estimation theory
439	Modeling with ARMA Processes: I • goal: determine which ARMA(p, q) process is best model for observed time series x1, . . . , xn • tasks at hand include − determining p and q (order selection) − estimating proces Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2015-02-27 13:26:47 Statistical inference Maximum likelihood Estimation theory Statistics Signal processing
440	Bio-inspired computer model that can design street layouts Add to Reading List Source URL: phys.org Language: English - Date: 2015-04-17 06:48:50 Charles Darwin Herbert Spencer Metaphors Survival of the fittest Natural selection Evolutionary biology Biological evolution Biology

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