Estimating parameter of the selected uniform population under the generalized stein loss function

KR Meena, AK Gangopadhyay - Applications and …, 2020 - digitalcommons.pvamu.edu
This paper deals with the problem of estimating scale parameter of the selected uniform
population when sample sizes are unequal. The loss has been measured by the …

[PDF][PDF] Comparison of maximum likelihood and Bayes estimators under symmetric and asymmetric loss functions by means of Tierney Kadane's approximation for …

G Gencer, K Gencer - Turkish Journal of Science and Technology, 2019 - dergipark.org.tr
In this study, it is considered the problem of comparing the performances of the Maximum
Likelihood (ML) and Bayes estimators under symmetric and asymmetric loss function for the …

Estimation after selection from bivariate normal population with application to poultry feeds data

M Arshad, O Abdalghani, KR Meena… - Hacettepe Journal of …, 2022 - dergipark.org.tr
In many practical situations, it is often desired to select a population (treatment, product,
technology, etc.) from a choice of several populations on the basis of a particular …

Estimation of the scale parameter of a selected gamma population with unequal shape parameters under stein loss function

N Mahlooji, N Nematollahi - Communications in Statistics-Theory …, 2023 - Taylor & Francis
The problem of estimation of the parameter of a selected population arises when we
encounter with several populations and would like to estimate the parameter of the best …

Estimating a parametric function involving several exponential populations

M Arshad, O Abdalghani - Communications in Statistics-Theory …, 2023 - Taylor & Francis
This article provides some optimal estimators for a parametric function θR, which arises in
the study of reliability analysis involving several exponential populations. Let π 1, π 2,…, π k …

Adjusted bias and risk for estimating treatment effect after selection with an application in idiopathic osteoporosis

O Abdalghani, M Arshad, KR Meena… - … Decision Making in …, 2021 - taylorfrancis.com
In clinical researches, when comparing the effects of different treatments (therapies or
drugs), usually a physician would like to select the most effective treatment among k (≥ 2) …