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Gauss–Markov theorem
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51	4 A Statistical Perspective on Knowledge Discovery in Databases John F. Elder IV Add to Reading List Source URL: datamininglab.com Language: English Statistical theory Estimation theory Parametric statistics Linear regression Robust statistics Resampling Estimator Least squares Gauss–Markov theorem Statistics Regression analysis Statistical inference
52	Microsoft Word - GLS_Mixed_GENMOD_GLIMMIX_combined_note.doc Add to Reading List Source URL: biometrics.forestry.ubc.ca Language: English - Date: 2013-06-11 12:06:30 Econometrics Covariance and correlation Least squares Linear regression Ordinary least squares Generalized least squares Gauss–Markov theorem Variance Normal distribution Statistics Regression analysis Estimation theory
53	New URL: http://www.R-project.org/conferences/DSC[removed]Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC[removed]March 20–22, Vienna, Austria ISSN 1609-395X Add to Reading List Source URL: www.r-project.org Language: English - Date: 2014-02-10 04:23:06 Statistical dependence Categorical data Measurement Contingency table Errors and residuals in statistics Coefficient of determination Degrees of freedom Plot Gauss–Markov theorem Statistics Regression analysis Least squares
54	How Robust Standard Errors Expose Methodological Problems They Do Not Fix, and What to Do About it∗ Gary King† Margaret E. Roberts‡. Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2014-08-05 16:14:07 Estimation theory Statistical theory Parametric statistics Heteroscedasticity-consistent standard errors Linear regression Variance Bias of an estimator Estimator Gauss–Markov theorem Statistics Regression analysis Econometrics
55	The unbiasedness of a generalized mirage boundary correction method for Monte Carlo integration estimators of volume Add to Reading List Source URL: www.fs.fed.us Language: English - Date: 2014-07-23 10:47:45 Statistical theory Signal processing Estimator Bias of an estimator Point estimation Gauss–Markov theorem Importance sampling Sample size determination Statistics Statistical inference Estimation theory
56	Seismic Location Calibration For 30 International Monitoring System Stations in Eastern Asia DOUBLE-DIFFERENCE LOCATIONS OF LOP NOR NUCLEAR EXPLOSIONS Reference Events Evaluation of Bondar’s method Add to Reading List Source URL: www.giseis.alaska.edu Language: English - Date: 2011-05-03 16:43:00 Measurement Physical cosmology Gauss–Markov theorem Ellipse Errors and residuals in statistics Bondar Cosmic distance ladder Statistics Regression analysis Error
57	The Auk 121(2):526–540, 2004 A UNIFIED APPROACH TO ANALYZING NEST SUCCESS T L. S 1 Add to Reading List Source URL: www.npwrc.usgs.gov Language: English - Date: 2006-06-27 17:23:57 Logistic function Regression Generalized linear model Gauss–Markov theorem Survival analysis Statistics Regression analysis Logistic regression
58	92 CHAPTER 4. PREDICTIVE MODELS defines a probability space for which (X, E, P ) is a Bayesian network. Furthermore, P (Xi \|C(Xi)) is either 0 or fi (Xi ). Here C(Xi ) denotes the parents (or direct causes) of Xi . Add to Reading List Source URL: datamining.anu.edu.au Language: English - Date: 2011-05-31 01:27:15 Mean squared error Variance Errors and residuals in statistics Gauss–Markov theorem Bias of an estimator Multivariate adaptive regression splines Residual sum of squares Linear regression Ordinary least squares Statistics Regression analysis Least squares
59	Generalized LARS as an Eﬀective Feature Selection Tool for Text Classiﬁcation With SVMs S. Sathiya Keerthi Yahoo! Research Labs, 210 S. DeLacey Avenue, Pasadena, CA[removed]Abstract Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:03 Least-angle regression Gauss–Markov theorem Feature selection Regression analysis Statistics Statistical classification Support vector machine
60	PDF Document Add to Reading List Source URL: www.hks.harvard.edu Language: English - Date: 2014-05-02 10:22:26 Estimation theory Linear regression Estimator Ordinary least squares Probit model Dummy variable Gauss–Markov theorem Least squares Maximum likelihood Statistics Regression analysis Econometrics