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This article concerns estimation of a symmetric distribution function under multistage ranked
set sampling. A nonparametric estimator is developed and its theoretical properties are …

Ranked set sampling is a very useful method to collect data when the actual measurement
of the units in a population is difficult or expensive. Recently, the generalized quasi‐Lindley …

This paper is devoted to estimating the reliability of a multi-component stress–strength
model in an s-out-m (s ≤ ms≤ m) system under progressively type-II censored modified …

In this paper, we develop a nonparameteric cumulative distribution function (CDF) estimator
for pair ranked set sampling (PRSS) design. We show that the proposed estimator is …

The authors develop a kernel-based estimator of a dynamic reliability measure for use with
independent ranked set samples. The estimator is in the form of a ratio, whose numerator …

In this study, we consider the point and interval estimation of the stress–strength reliability
R= PX< Y based on ranked set sampling when the stress X and the strength Y are both …

The mean residual life (MRL) of a nonnegative random variable X plays an important role in
various disciplines such as reliability, survival analysis, and extreme value theory. This …

In this paper, we are interested in estimating stress-strength reliability when the distributions
of stress and strength are independent generalized inverse Lindley (GIL) under different …

Ranked set sampling (RSS) allows us to draw inference about the population parameters
more efficiently as compared with that in simple random sampling. Recent publication has …