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Gauss–Markov theorem
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1	0.1 mlogit: Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values Use the multinomial logit distribution to model unordered categorical variables. The dependent variable may be in the Add to Reading List Source URL: perso.md2t.eu Language: English - Date: 2011-03-08 17:52:46 Actuarial science Categorical data Multinomial logit Statistical models Multinomial distribution Logistic regression Generalized linear model Probability distribution Gauss–Markov theorem Statistics Regression analysis Econometrics
2	poge l0 lmoge; I.lo. 15 FirsfSoutheosternLineorAlgebro Conference Chottonoogo,Tennesee:Moy 27-28,1994 Add to Reading List Source URL: www.sis.uta.fi Language: English - Date: 2011-05-10 03:10:45 Gauss–Markov theorem Ingram Olkin Statistics Matrices Mathematics Matrix
3	The Method of Least Squares Hervé Abdi1 1 Introduction The least square methods (LSM) is probably the most popular technique in statistics. This is due to several factors. First, most common estimators can be casted wit Add to Reading List Source URL: www.utd.edu Language: English - Date: 2006-08-17 11:57:37 Econometrics Estimation theory Parametric statistics Generalized least squares Linear regression Gauss–Markov theorem Ordinary least squares Nonlinear regression Linear least squares Statistics Regression analysis Least squares
4	Composite calibration estimation integrating data from different surveys Takis Merkouris Athens University of Economics and Business, Patision 76, Athens 10434, Greece, email: Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:19 Econometrics Estimation theory Covariance and correlation Covariance Linear regression Estimator Variance Gauss–Markov theorem Resampling Statistics Statistical inference Data analysis
5	Magging: maximin aggregation for inhomogeneous large-scale data arXiv:1409.2638v1 [stat.ME] 9 SepPeter B¨ Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2014-09-15 04:13:13 Econometrics Regression analysis Parametric statistics Linear regression Estimator Bootstrapping Gauss–Markov theorem Mean squared error Statistics Estimation theory Statistical inference
6	Microsoft Word - Scientific_Rep_03-08_forside.doc Add to Reading List Source URL: www.dmi.dk Language: English Gauss–Markov theorem Linear regression Least squares Autocorrelation Errors and residuals in statistics Generalized least squares Simple linear regression Statistics Regression analysis Ordinary least squares
7	Data Assimilation in Environmental Modelling Henrik Madsen DHI HOBE-TR32 Joint workshop, Sandbjerg Castle, 1-4 April 2012 Add to Reading List Source URL: hydrocast.dhigroup.com Language: English - Date: 2013-01-15 05:03:34 Cybernetics Estimation theory Linear filters Robot control Bayesian statistics Kalman filter Data assimilation Least squares Gauss–Markov theorem Statistics Systems theory Control theory
8	Robust Regression in R An Appendix to An R Companion to Applied Regression, Second Edition John Fox & Sanford Weisberg last revision: 15 December 2010 Abstract Add to Reading List Source URL: socserv.socsci.mcmaster.ca Language: English - Date: 2010-12-15 11:17:07 Robust statistics Econometrics Statistical inference Linear regression Ordinary least squares Robust regression Least squares M-estimator Gauss–Markov theorem Statistics Regression analysis Estimation theory
9	SUPPLEMENTARY INFORMATION Supplementary Information DOI: NPHYS2535 Add to Reading List Source URL: www.nature.com Language: English - Date: 2013-03-01 11:35:59 Gauss–Markov theorem Continuous function
10	Ensemble Kalman Filter based snow data assimilation (just some ideas) FMI, Sodankylä, 4 August 2011 Add to Reading List Source URL: netfam.fmi.fi Language: English - Date: 2011-08-04 09:13:31 Cybernetics Systems theory Control theory Bayesian statistics Statistical forecasting Ensemble Kalman filter Data assimilation Kalman filter Gauss–Markov theorem Statistics Linear filters Estimation theory