Results 11 to 20 of about 88,700 (323)

When is an Expectile the Best Linear Unbiased Estimator?

SSRN Electronic Journal, 2021
Collin Philipps
openalex   +2 more sources

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

AUT 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, Adel Mohammadpour, Nader Nematollahi   +2 more
doaj   +1 more source

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

Stats, 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, Christophe Chesneau, Radhakumari Maya, Muhammed Rasheed Irshad   +3 more
doaj   +1 more source

Muth Distribution and Estimation of a Parameter Using Order Statistics

Statistica, 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, Radhakumari Maya, Sasikumar Padmini Arun   +2 more
doaj   +1 more source

Interval-Valued Linear Model [PDF]

International 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

Statistical modelling of rate gyros based on fully overlapping Allan variance

IET 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, Chol Myong Sin, Jun Gol Kang   +2 more
doaj   +1 more source

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

Cumhuriyet 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

E-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, I GUSTI AYU MADE SRINADI, I KOMANG GDE SUKARSA   +2 more
doaj   +1 more source

Best Linear Unbiased Estimation of the nuclear masses [PDF]

Annals 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, Argaud, Jean-Philippe   +1 more
openaire   +2 more sources

Ancestral Spectrum Analysis With Population-Specific Variants

Frontiers 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