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Gauss–Markov theorem
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#	Item
21	20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Challenges for including error updating in real-time hydrological error models M. Li a, Q.J. Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-11-19 22:18:42 Error Measurement Statistical theory Errors and residuals in statistics Forecasting GLUE Gauss–Markov theorem Autoregressive conditional heteroskedasticity Error analysis Statistics Time series analysis Regression analysis
22	Uncertainty analysis and conservativeness for REDD+ by Sandro Federici & Giacomo Grassi for a GOFC-GOLD & CIFOR workshop Wageningen – September 2012 Add to Reading List Source URL: www.gofcgold.wur.nl Language: English - Date: 2012-09-05 05:58:56 Bias Statistical inference Estimator Bias of an estimator Intergovernmental Panel on Climate Change Gauss–Markov theorem Statistics Statistical theory Estimation theory
23	Microsoft Word - Mulley Tanner.doc Add to Reading List Source URL: pandora.nla.gov.au Language: English - Date: 2010-07-27 20:08:53 Linear regression Heteroscedasticity Ordinary least squares Least squares Multicollinearity Coefficient of determination Gauss–Markov theorem Calibration Statistics Regression analysis Spatial analysis
24	4D-Var for Dummies Jeff Kepert Centre for Australian Weather and Climate Research A partnership between the Australian Bureau of Meteorology and CSIRO 8th Adjoint Workshop, Pennsylvania, May[removed] Add to Reading List Source URL: gmao.gsfc.nasa.gov Language: English Bayesian statistics Statistical forecasting Weather prediction Data assimilation Covariance Variance Gauss–Markov theorem Statistics Estimation theory Control theory
25	ECONOMETRICS Bruce E. Hansen c °2000, 20151 Add to Reading List Source URL: www.ssc.wisc.edu Language: English - Date: 2015-01-16 17:57:40 Linear regression Heteroscedasticity Generalized method of moments Instrumental variable Least squares Vector autoregression Quantile regression Generalized least squares Gauss–Markov theorem Statistics Regression analysis Econometrics
26	Generalised Linear Mixed Models in action: potentials and limitations Gianfranco LOVISON Universita` degli Studi di Palermo - Italia Add to Reading List Source URL: www.swisstph.ch Language: English - Date: 2014-02-26 08:39:16 Estimation theory Statistical models Statistical methods Cluster analysis Random effects model Fixed effects model Mixed model Gauss–Markov theorem Statistics Analysis of variance Regression analysis
27	Microsoft Word - ASikorska_et.al_RC_20130823-Supplement2 Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 03:39:50 Regression analysis Error Errors and residuals in statistics Economic model Uncertainty Gauss–Markov theorem Statistics Measurement Statistical theory
28	Microsoft Word - 75-Dimitris Tsolakis.doc Add to Reading List Source URL: www.atrf.info Language: English - Date: 2011-12-14 22:13:38 Ordinary least squares Heteroscedasticity Gauss–Markov theorem Dummy variable Errors and residuals in statistics Least squares Linear regression Statistics Regression analysis Econometrics
29	Index Cp , see Mallows’ F -test, 5, 33, 34, 40, 59–62, 83, 84, 88, 94, 106–109 RCp , see Mallows’ χ 2 -distribution, see distribution Add to Reading List Source URL: media.wiley.com Language: English - Date: 2009-04-16 17:31:36 Statistical inference Regression analysis M-estimators Estimator Least squares Maximum likelihood Gauss–Markov theorem Generalized linear model Bootstrapping Statistics Estimation theory Statistical theory
30	Stat 511 Outline Spring 2004 Steve Vardeman Iowa State University May 5, 2004 Abstract Add to Reading List Source URL: www.public.iastate.edu Language: English - Date: 2004-05-05 08:53:48 Econometrics Estimation theory Parametric statistics Generalized least squares Ordinary least squares Gauss–Markov theorem Linear least squares Hat matrix Normal distribution Statistics Regression analysis Least squares