Results 11 to 20 of about 23,412 (229)

Robustness of the best linear unbiased estimator and predictor in linear regression models [PDF]

open access: yesApplications of Mathematics, 1990
summary:If is shown that in linear regression models we do not make a great mistake if we substitute some sufficiently precise approximations for the unknown covariance matrix and covariance vector in the expressions for computation of the best linear ...
Štulajter, František
core   +2 more sources

Asymptotic Analysis of Multilevel Best Linear Unbiased Estimators [PDF]

open access: yesSIAM/ASA Journal on Uncertainty Quantification, 2021
We study the computational complexity and variance of multilevel best linear unbiased estimators introduced in [D. Schaden and E. Ullmann, SIAM/ASA J. Uncert. Quantif., (2020)]. We specialize the results in this work to PDE-based models that are parameterized by a discretization quantity, e.g., the finite element mesh size.
Daniel Schaden, Elisabeth Ullmann
openaire   +3 more sources

Muth Distribution and Estimation of a Parameter Using Order Statistics

open access: yesStatistica, 2021
In this work, we have considered a lifetime distribution namely Muth distribution and pointed out instances where it appears as a good model to study the stochastic nature of the variable under consideration.
Muhammed Rasheed Irshad   +2 more
doaj   +1 more source

Interval-Valued Linear Model [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2015
This paper introduces a new type of statistical model: the interval-valued linear model, which describes the linear relationship between an interval-valued output random variable and real-valued input variables.
Xun Wang, Shoumei Li, Thierry Denœux
doaj   +1 more source

Best Linear Unbiased Estimation of the nuclear masses [PDF]

open access: yesAnnals of Nuclear Energy, 2011
This paper presents methods to provide an optimal evaluation of the nuclear masses. The techniques used for this purpose come from data assimilation that allows combining, in an optimal and consistent way, information coming from experiment and from numerical model.
Bouriquet, Bertrand   +1 more
openaire   +2 more sources

Efficiency of Kimball's Linearized Maximum Likelihood Estimators for the Two Parameter Weibull and Extreme Value Distributions [PDF]

open access: yesThe Egyptian Statistical Journal, 1985
Asymptotic efficiencies, of Kimball's linearized maximum likelihood estimator β ̂ for the scale parameter of the Type I extreme value distribution are evaluated for Type II censored samples.
M. Habib, A. Bargal
doaj   +1 more source

Statistical modelling of rate gyros based on fully overlapping Allan variance

open access: yesIET Science, Measurement & Technology, 2022
Angular random walk and rate random walk are two dominant random noise components which are inherent in almost gyroscopes. Therefore, modelling these noise components accurately is very important. Here, a modified algorithm is proposed for estimating the
Yong Gil Ri   +2 more
doaj   +1 more source

Henderson's method approach to Kernel prediction in partially linear mixed models

open access: yesCumhuriyet Science Journal, 2020
In this article, we propose Kernel prediction in partially linear mixed models by using Henderson's method approach. We derive the Kernel estimator and the Kernel predictor via the mixed model equations (MMEs) of Henderson's that they give the best ...
Seçil Yalaz, Özge Kuran
doaj   +1 more source

PENDUGAAN PARAMETER REGRESI ROBUST METODE MINIMUM COVARIANCE DETERMINANT DAN METODE TELBS

open access: yesE-Jurnal Matematika, 2023
The parameter estimator on the regression model can be obtained through the ordinary least square (OLS). When there are outliers in the data, OLS cannot be applied because it will produce an unbiased estimator that is not the best linear estimator ...
NI KETUT ZELINA YERISKA   +2 more
doaj   +1 more source

Ancestral Spectrum Analysis With Population-Specific Variants

open access: yesFrontiers in Genetics, 2021
With the advance of sequencing technology, an increasing number of populations have been sequenced to study the histories of worldwide populations, including their divergence, admixtures, migration, and effective sizes.
Gang Shi, Qingmin Kuang
doaj   +1 more source

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