This paper introduces a new sampling design in a finite population setting, where potential
sampling units have a wealth of auxiliary information that can be used to rank them into …

This paper draws statistical inference for population characteristics using two-stage cluster
samples. Cluster samples in each stage are constructed using ranked set sample (RSS) …

In this paper, we consider design-based estimation using ranked set sampling (RSS) in finite
populations. We first derive the first and second-order inclusion probabilities for an RSS …

This paper develops statistical inference based on a post-stratified probability-proportional-
to-size (pp) sample from a finite population. A pp sample selects the sample units with …

We derive recursive algorithms for computing first-order and second-order inclusion
probabilities for ranked-set sampling from a finite population. These algorithms make it …

This paper develops statistical inference based on super population model in a finite
population setting using ranked set samples (RSS). The samples are constructed without …

Abstract Ranked Set Sampling (RSS) is preferred to Simple Random Sampling (SRS) when
measuring an observation is expensive or time-consuming, while ranking small subset of …

In a finite population setting, Ozdemir and Gokpinar (A Generalized formula for inclusion
probabilities in ranked set sampling, Hacettepe J. Math. Stat 36 (1), 89–99, 2007) obtained a …

This article develops a new generalized formula to compute the inclusion probabilities of a
median-ranked set sample in a finite population setting. The use of this formula is illustrated …

This paper considers the ratio estimator in a finite population setting in a ranked set
sampling (RSS) design, where the sample is constructed either with or without replacement …