Estimation of coefficient of variation using calibrated estimators in double stratified random sampling
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 …
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
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 …
population distribution function (DF) using twofold auxiliary evidence within the framework of …
[HTML][HTML] Novel imputation methods under stratified simple random sampling
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 …
of the population mean under stratified simple random sampling (SSRS) along with their …
Performance evaluation of novel logarithmic estimators under correlated measurement errors
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 …
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
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 …
Hatke distribution (WBHD). The PDF and CDF of the WBHD are derived in a closed form …
Novel predictive estimators using ranked set sampling
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 …
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
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 …
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 …
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 …
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
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 …
as a technique for estimating population means. These estimators use supplementary …