Results 161 to 170 of about 23,412 (229)
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Journal of Statistical Planning and Inference, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yonghui Liu
exaly +3 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yonghui Liu
exaly +3 more sources
The Equality of the Ordinary Least Squares Estimator and the Best Linear Unbiased Estimator
American Statistician, 1989Abstract It is well known that the ordinary least squares estimator of Xβ in the general linear model E y = Xβ, cov y = σ2 V, can be the best linear unbiased estimator even if V is not a multiple of the identity matrix. This article presents, in a historical perspective, the development of the several conditions for the ordinary least squares estimator
Simo Puntanen, George P H Styan
exaly +3 more sources
When is an Expectile the Best Linear Unbiased Estimator?
SSRN Electronic Journal, 2021Collin Philipps
semanticscholar +2 more sources
On the best linear unbiased estimator and the linear sufficiency of a general growth curve model
Journal of Statistical Planning and Inference, 2011Guang-Jing Song
exaly +2 more sources
On Multilevel Best Linear Unbiased Estimators
SIAM/ASA Journal on Uncertainty Quantification, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daniel Schaden, Elisabeth Ullmann
openaire +1 more source
Two matrix-based proofs that the linear estimator Gy is the best linear unbiased estimator
Journal of Statistical Planning and Inference, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
S. Puntanen, G. Styan, H. Werner
semanticscholar +2 more sources
Best Linear Unbiased Estimation by Recursive Methods
SIAM Journal on Applied Mathematics, 1966Introduction. The classical linear estimation problem for a finite number of parameters using least squares dates back to Gauss [1]. In a paper by Aitken [2], the method of parameter estimation was generalized. Instead of obtaining the set of parameters which minimize the sum of squares of the residuals (difference between the observed and expected ...
M. Blum
semanticscholar +2 more sources

