Estimation of coefficient of variation using calibrated estimators in double stratified random sampling

U Shahzad, I Ahmad, AV García-Luengo, T Zaman… - Mathematics, 2023 - mdpi.com
One of the most useful indicators of relative dispersion is the coefficient of variation. The
characteristics of the coefficient of variation have contributed to its widespread use in most …

Improved estimation of population distribution function using twofold auxiliary information under simple random sampling

S Ahmad, S Hussain, A Al Mutairi, M Kamal… - Heliyon, 2024 - cell.com
In this article, our main aim is to suggest enhanced families of estimators for estimating the
population distribution function (DF) using twofold auxiliary evidence within the framework of …

[HTML][HTML] Novel imputation methods under stratified simple random sampling

A Kumar, S Bhushan, MSA Mustafa, R Aldallal… - Alexandria Engineering …, 2024 - Elsevier
This paper addresses some classes of combined and separate imputation methods (CSIMs)
of the population mean under stratified simple random sampling (SSRS) along with their …

Performance evaluation of novel logarithmic estimators under correlated measurement errors

S Bhushan, A Kumar, S Shukla - Communications in Statistics …, 2024 - Taylor & Francis
In survey research, the issue of measurement errors (ME) has been sorted out by various
authors, but the issue of correlated measurement errors (CME) has only been studied by …

Statistical modeling for COVID 19 infected patient's data in Kingdom of Saudi Arabia

R Aldallal, AM Gemeay, E Hussam, M Kilai - Plos one, 2022 - journals.plos.org
The objective of this study is to construct a new distribution known as the weighted Burr–
Hatke distribution (WBHD). The PDF and CDF of the WBHD are derived in a closed form …

Novel predictive estimators using ranked set sampling

S Bhushan, A Kumar - Concurrency and Computation: Practice …, 2023 - Wiley Online Library
This article suggests some novel logarithmic predictive estimators using ranked set
sampling for the computation of population mean. The bias and mean square error of the …

Improved regression in ratio type estimators based on robust M-estimation

KUI Rather, EG Koçyiğit, R Onyango, C Kadilar - Plos one, 2022 - journals.plos.org
In this article, a new robust ratio type estimator using the Uk's redescending M-estimator is
proposed for the estimation of the finite population mean in the simple random sampling …

On Cox proportional hazards model performance under different sampling schemes

H Samawi, L Yu, JJ Yin - Plos one, 2023 - journals.plos.org
Cox's proportional hazards model (PH) is an acceptable model for survival data analysis.
This work investigates PH models' performance under different efficient sampling schemes …

[HTML][HTML] Application on wide-ranging estimation of population proportion using auxiliary attributes

B Aloraini, S Ahmad, RA ZeinEldin… - Alexandria Engineering …, 2025 - Elsevier
Many fields require the development of different techniques and approaches to improve the
precision and efficiency of population parameters estimation. To reflect the impact of …

[HTML][HTML] A simulation based optimization of factor-type exponential estimators in sample surveys with coefficients of variation and kurtosis

VK Yadav, S Prasad - Franklin Open, 2023 - Elsevier
In the context of sample surveys, this article presents factor-type exponential ratio estimators
as a technique for estimating population means. These estimators use supplementary …