![Statistical theory / Least squares / Statistical inference / Gauss–Markov theorem / Normal distribution / Ordinary least squares / Mean squared error / Efficient estimator / Bias of an estimator / Statistics / Estimation theory / Regression analysis Statistical theory / Least squares / Statistical inference / Gauss–Markov theorem / Normal distribution / Ordinary least squares / Mean squared error / Efficient estimator / Bias of an estimator / Statistics / Estimation theory / Regression analysis](https://www.pdfsearch.io/img/6e4c6b4ce1deb94a566993d221aa53d6.jpg) Date: 2013-11-05 11:24:58Statistical theory Least squares Statistical inference Gauss–Markov theorem Normal distribution Ordinary least squares Mean squared error Efficient estimator Bias of an estimator Statistics Estimation theory Regression analysis | | Bernoulli 19(5A), 2013, 1839–1854 DOI: [removed]BEJ432 Optimal variance estimation without estimating the mean function T I E J U N TO N G 1 , YA N Y UA N M A 2 and Y U E D O N G WA N G 3Add to Reading ListSource URL: www.stat.tamu.eduDownload Document from Source Website File Size: 182,12 KBShare Document on Facebook
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