Results 251 to 260 of about 88,700 (323)

Drought stress effects on pot marigold (Calendula officinalis L.) revealed by REML and BLUEs analysis. [PDF]

Sci Rep
Tavassoli A, Tavakol E, Heidari B, Afsharifar A.   +3 more
europepmc   +1 more source

EasyGeSe - a resource for benchmarking genomic prediction methods. [PDF]

BMC Genomics
Quesada-Traver C, Ariza-Suarez D, Studer B, Yates S.   +3 more
europepmc   +1 more source

On equality of ordinary least squares estimator, best linear unbiased estimator and best linear unbiased predictor in the general linear model

Journal of Statistical Planning and Inference, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yonghui Liu
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The best linear unbiased estimator in a singular linear regression model

Statistical Papers, 2016
This paper discusses and employs weighted balanced loss functions. The minimum risk properties of linear estimators of linear model coefficients in the class of linear unbiased estimators are derived. Lower and upper relative efficiencies of the best linear unbiased estimator are presented.
Jibo Wu, Chaolin Liu
openalex   +2 more sources

Best linear unbiased estimators of population variance in successive sampling

Model Assisted Statistics and Applications, 2012
In present work, best linear unbiased estimators have been proposed to estimate the population variance on current occasion in two-occasion successive (rotation) sampling. Optimum replacement policies of the proposed estimators are discussed. Results are supported with the suitable empirical studies.
G. N. Singh, Shakti Prasad, D. Majhi
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On Multilevel Best Linear Unbiased Estimators

SIAM/ASA Journal on Uncertainty Quantification, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daniel Schaden, Elisabeth Ullmann
openaire   +1 more source

Constrained Best Linear and Widely Linear Unbiased Estimation

2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
The least squares estimator (LSE) and the best linear unbiased estimator (BLUE) are two well-studied approaches for the estimation of deterministic but unknown parameters. In situations where the parameter vector is subject to linear constraints, the constrained LSE can be employed. In this paper, we derive the constrained version of the BLUE. In fact,
Oliver Lang, Alexander Onic, Markus Steindl, Mario Huemer   +3 more
openaire   +1 more source

Best Linear Unbiased Estimation for Multivariate Stationary Processes

Technometrics, 1968
The general linear hypothesis is formulated for a multivariate stationary stochastic process. The best (minimum variance) linear unbiased estimates are derived for the regression functions and it is shown that many signal estimation problems are special cases of the general linear model.
Robert H. Shumway, William C. Dean
openaire   +2 more sources