This paper suggests some novel class of log type estimators for the estimation of population
mean of study variable under ranked set sampling by utilizing information on population …

This article studies the properties of the maximum likelihood estimator of the population
proportion in ranked set sampling with extreme ranks. The maximum likelihood estimator is …

Traditional ordinary least square (OLS) regression is commonly utilized to develop
regressionratio-type estimators with traditional measures of location. Abid et al.(2016b) …

The presence of extreme events gives rise to outrageous results regarding population
parametersand their estimates using traditional moments. Traditional moments are usually …

In this article, we consider the problem of estimating cumulative distribution function (CDF)
and a reliability parameter using moving extreme ranked set sampling (MERSS). Two …

The receiver operating characteristic (ROC) curve is an important tool for assessing the
discrimination power of a continuous biomarker. The area under the ROC curve is a well …

This paper considers the concomitant based double ranked set sampling (CDRSS) for
estimating the population proportion and compares with existing concomitant based ranked …

This article deals with constructing a confidence interval for the reliability parameter using
ranked set sampling. Some asymptotic and resampling-based intervals are suggested, and …

In this article, a new sampling scheme based on ranked data is proposed. The main idea of
the new sampling procedure is to produce a more flexible, reliable, cost-efficient design than …

In this study, we introduce a new approach to the mean estimators in ranked set sampling.
The amount of information carried by the auxiliary variable is measured with the Shannon …