In this manuscript, we propose the combined and separate difference and ratio type
estimators of population mean using stratified ranked set sampling. Additionally, several well …

In the sample survey theory, the crux of survey practitioners is to provide “accurate”
estimators of the parameter of choice. The conventional theory depends on the …

We adapt the ratio estimation using ranked set sampling, suggested by Samawi and Muttlak
(Biometr J 38: 753–764, 1996), to the ratio estimator for the population mean, based on …

In this study, we introduce a novel combined ratio type estimator within the framework of
Stratified Ranked Set Sampling to estimate the population mean of the study variable by …

The aim of present study is to propose ratio estimators for the population mean using
auxiliary information efficiently under stratified random sampling (SRS) and stratified ranked …

This paper proposes several Hartley-Ross (HR) type unbiased estimators of the finite
population mean using information on known population parameters of the auxiliary variable …

This article considers some separate and combined logarithmic estimators of population
mean by utilizing information on the auxiliary variables in stratified ranked set sampling …

Stratified ranked set sampling (StRSS) combines the advantages of stratification and ranked
set sampling (RSS). In this paper, we propose several unbiased ratio type estimators using …

We propose a new exponential type estimator for the population mean by adapting the
estimator suggested by Kadilar [12] to the Ranked Set Sampling (RSS). Theoretically and …

It is long familiar that the stratified ranked set sampling (SRSS) is more efficient than ranked
set sampling (RSS) and stratified random sampling (StRS). The existence of missing values …