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Linear least squares
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41	Median-Unbiased Estimation of Higher Order Autoregressive/Unit Root Processes and Autocorrelation Consistent Covariance Estimation in a Money Demand Model J. Huston McCulloch 1 Add to Reading List Source URL: www.econ.ohio-state.edu Language: English - Date: 2012-01-12 12:02:16 Regression analysis Econometrics Time series analysis Estimation theory Parametric statistics Ordinary least squares Heteroscedasticity Linear regression Autocorrelation DurbinWatson statistic GaussMarkov theorem Unit root
42	Constrained Least Squares Stephen Boyd EE103 Stanford University November 16, 2015 Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-11-16 13:33:46 Regression analysis Mathematical optimization Least squares Polynomial regression Estimation theory Linear least squares Total least squares
43	Chapter 3 Tree- based Regress ion This chapter describes two different approaches to induce regression trees. We first present the standard methodology based on the minimisation of the squared error. Least squares (LS) r Add to Reading List Source URL: www.dcc.fc.up.pt Language: English - Date: 2012-12-13 10:18:43 Regression analysis Econometrics Estimation theory Mathematical optimization Decision trees Decision tree learning Linear regression Least squares Least absolute deviations Multivariate adaptive regression splines Predictive analytics
44	Child Mortality Estimation 2013: An Overview of Updates in Estimation Methods by the United Nations Inter-Agency Group for Child Mortality Estimation Leontine Alkema1,2, Jin Rou New1, Jon Pedersen3, Danzhen You4, all me Add to Reading List Source URL: www.childmortality.org Language: English* - Date: 2014-09-26 01:57:00 Population Econometrics Regression analysis Actuarial science Demography Infant mortality Statistics Linear regression Least squares Sampling Local regression Bias
45	ORDINARY LEAST SQUARES REGRESSION MATH 196, SECTION 57 (VIPUL NAIK) Corresponding material in the book: For the computational process, Section 5.3 of the book is relevant. For comparing notation: • Add to Reading List Source URL: files.vipulnaik.com Language: English - Date: 2016-08-13 11:33:29 Regression analysis Estimation theory Parametric statistics Econometrics Least squares Linear regression Ordinary least squares Linear algebra Matrix Vector space Line Linear least squares
46	Technical note: Curve fitting with the R Environment for Statistical Computing D G Rossiter May 15, 2016 Add to Reading List Source URL: www.css.cornell.edu Language: English - Date: 2016-05-15 06:59:44 Regression analysis Akaike information criterion Coefficient of determination Linear regression Ordinary least squares Least squares Bayesian information criterion Normal distribution Curve fitting Analysis of variance Errors and residuals Degrees of freedom
47	Special Issue Paper Received: 2 November 2012, Environmetrics Revised: 10 April 2013, Add to Reading List Source URL: www.bio.sdsu.edu Language: English - Date: 2013-08-15 20:48:16 Regression analysis Linear regression Ordinary least squares Nonparametric regression Local regression Segmented regression Statistics Errors-in-variables models Least squares Regression Curve fitting Polynomial regression
48	Tests of Equal Accuracy for Nested Models with Estimated Factors Sílvia Gonçalves, Michael W. McCrackenyand Benoit Perronz September 14, 2015 Abstract In this paper we develop asymptotics for tests of equal predictive Add to Reading List Source URL: www.cb.cityu.edu.hk Language: English - Date: 2016-07-08 02:21:34 Regression analysis Econometrics Estimation theory Parametric statistics Time series analysis Ordinary least squares Linear regression Asymptotic theory Central limit theorem Autoregressive conditional heteroskedasticity Distribution Autocorrelation
49	Evidence for Autoregressive Conditional Heteroskedastic errors in growth traits of beef cattle* Add to Reading List Source URL: www.archanimbreed.com Language: English - Date: 2016-01-06 06:20:57 Time series analysis Econometrics Autoregressive conditional heteroskedasticity Autoregressive conditional duration Heteroscedasticity Normal distribution Linear regression Least squares
50	An Introduction to Partial Least Squares Regression Randall D. Tobias, SAS Institute Inc., Cary, NC Abstract Add to Reading List Source URL: www.ats.ucla.edu Language: English - Date: 2016-08-17 18:18:26 Regression analysis Multivariate statistics Econometrics Psychometrics Statistical methods Partial least squares regression Structural equation modeling Chemometrics Linear regression Least squares Latent variable Degrees of freedom