Results 1 to 10 of about 23,412 (229)

A projector oriented approach to the best linear unbiased estimator

open access: yesStatistical Papers, 2009
General Gauss–Markov model, Ordinary least squares estimator, Oblique projector, Generalized projection operator, 62J05, 62H12, 15A24, 15A57,
Oskar Baksalary, Götz Trenkler
core   +4 more sources

Approximating the best linear unbiased estimator of non-Gaussian signals with Gaussian noise

open access: yesIEICE Trans. Inf. Syst., 2022
S.1577-1580Obtaining the best linear unbiased estimator (BLUE) of noisy signals is a traditional but powerful approach to noise reduction. Explicitly computing the BLUE usually requires the prior knowledge of the noise covariance matrix and the subspace ...
Sugiyama, M.   +3 more
core   +2 more sources

Concomitants of Order Statistics from a Bivariate Generalized Linear Exponential Distribution: Theory and Practice [PDF]

open access: yesEntropy
This paper investigates the concomitants of order statistics from the bivariate generalized linear exponential (BGLE) distribution. We obtain the probability density function of a single concomitant and the joint probability density function of two ...
Areej M. AL-Zayd
doaj   +2 more sources

Linearity of Unbiased Linear Model Estimators

open access: yesAmerican Statistician, 2022
Best linear unbiased estimators (BLUE’s) are known to be optimal in many respects under normal assumptions. Since variance minimization doesn’t depend on normality and unbiasedness is often considered reasonable, many statisticians have felt that BLUE’s ...
Portnoy, Stephen
core   +2 more sources

An Unbiased Estimator of Gene Diversity with Improved Variance for Samples Containing Related and Inbred Individuals of any Ploidy

open access: yesG3: Genes, Genomes, Genetics, 2017
Gene diversity, or expected heterozygosity (H), is a common statistic for assessing genetic variation within populations. Estimation of this statistic decreases in accuracy and precision when individuals are related or inbred, due to increased dependence
Alexandre M. Harris, Michael DeGiorgio
doaj   +3 more sources

Best Quadratic unbiased Estimator for Variance Component of One-Way Repeated Measurement Model

open access: yes, 2018
The studies of analysis of variance components is one of the important topics in mathematical statistics for this subject of wide application. In this paper given best quadratic unbiased estimator of variance components for balanced data for linear one ...
Jasim Mohammed Ali   +3 more
core   +2 more sources

Best linear unbiased estimators in continuous time regression models [PDF]

open access: yes, 2016
In this paper the problem of best linear unbiased estimation is investigated for continuous-time regression models. We prove several general statements concerning the explicit form of the best linear unbiased estimator (BLUE), in particular when the ...
Zhigljavsy, Anatoly   +2 more
core   +2 more sources

Improving the best linear unbiased estimator for the scale parameter of symmetric distributions by using the absolute value of ranked set samples

open access: yes, 2003
Ranked set sampling is a cost efficient sampling technique when actually measuring sampling units is difficult but ranking them is relatively easy. For a family of symmetric location-scale distributions with known location parameter, we consider a best ...
Gang Zheng, Mohammad Al-Saleh
core   +2 more sources

Estimation of the parameter of L´evy distribution using ranked set sampling [PDF]

open access: yesAUT Journal of Mathematics and Computing, 2021
Ranked set sampling is a statistical technique for data collection that generally leads to more efficient estimators than competitors based on simple random sampling.
Sahar Dorniani   +2 more
doaj   +1 more source

Farlie–Gumbel–Morgenstern Bivariate Moment Exponential Distribution and Its Inferences Based on Concomitants of Order Statistics

open access: yesStats, 2023
In this research, we design the Farlie–Gumbel–Morgenstern bivariate moment exponential distribution, a bivariate analogue of the moment exponential distribution, using the Farlie–Gumbel–Morgenstern approach.
Sasikumar Padmini Arun   +3 more
doaj   +1 more source

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