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Akaike information criterion
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61	University of California Volume 19 Number Add to Reading List Source URL: aic.ucdavis.edu Language: English - Date: 2013-04-23 18:29:03 Agriculture Argentine wine Akaike information criterion Agricultural policy Agricultural subsidy American wine California Association of Winegrape Growers Storage of wine California wine Wine Australian wine
62	Arts Industry Council (SA) Inc Chair’s annual report for the year ending DecemberPresented at the 2005 annual general meeting Add to Reading List Source URL: aicsa.net.au Language: English - Date: 2012-09-07 01:20:09 Australia Council for the Arts Akaike information criterion Model selection Government of South Australia
63	University of California AIC Quarterly Volume 15 Number 3 Add to Reading List Source URL: aic.ucdavis.edu Language: English - Date: 2013-04-23 18:28:58 Karen Ross California Agricultural economics Agricultural policy Agriculture Akaike information criterion Colin Carter The Giannini Foundation of Agricultural Economics Agrarianism Association of Public and Land-Grant Universities University of California Davis University of California
64	RESEARCH REPORT Serial No. 507 November 2013 THRESHOLD MODELS IN TIME SERIES ANALYSIS-SOME REFLECTIONS Add to Reading List Source URL: lx2.saas.hku.hk Language: English - Date: 2013-11-05 06:18:22 Non-linear systems Stochastic processes Noise STAR model Autoregressive conditional heteroskedasticity Threshold model Akaike information criterion Moving-average model Maximum likelihood Statistics Time series analysis Estimation theory
65	Curriculum Vitae for WAI KEUNG LI Ph. D. Department of Statistics & Actuarial Science Add to Reading List Source URL: lx2.saas.hku.hk Language: English - Date: 2014-10-29 02:24:37 Autoregressive conditional heteroskedasticity Time series Linear regression Unit root test Autoregressive–moving-average model Akaike information criterion Autoregressive conditional duration Threshold model Heteroscedasticity Statistics Time series analysis Econometrics
66	CHAPTER 6. MODEL AND MODEL SUMMARY OUTPUT CHAPTER 6. MODEL AND MODEL SUMMARY OUTPUT Following estimation of a model, various output file listings and graphical displays are produced. The specific output produced is con Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-05-18 08:48:12 Estimation theory Akaike information criterion Psychometrics Expectation–maximization algorithm Bootstrapping Structural equation modeling Bayesian information criterion Statistics Statistical inference Model selection
67	Microsoft Word - chairs_report.doc Add to Reading List Source URL: aicsa.net.au Language: English - Date: 2012-09-07 01:20:11 Akaike information criterion Model selection
68	PDF Document Add to Reading List Source URL: astrostatistics.psu.edu Language: English - Date: 2011-11-10 10:36:41 Model selection Regression analysis Econometrics Akaike information criterion Bayesian information criterion Maximum likelihood Bootstrapping Likelihood-ratio test Linear regression Statistics Estimation theory Statistical theory
69	PDF Document Add to Reading List Source URL: criminologyresearchcouncil.gov.au Language: English - Date: 2015-04-16 00:39:01 Data Information Akaike information criterion Preservation Copyright Government procurement in the United States Leasing Crime in Australia Law Australian Institute of Criminology
70	PDF Document Add to Reading List Source URL: www.jamstec.go.jp Language: English - Date: 2010-09-30 03:49:43 Argo Fisheries science Physical oceanography Akaike information criterion Data mining Geographic information system Data center Oceanography Concurrent computing Distributed computing

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