In the present paper, we study the information generating (IG) function and relative information generating (RIG) function measures associated with maximum and minimum ranked set sampling (RSS) schemes with unequal sizes. We also examine the IG measures for simple random sampling (SRS) and provide some comparison results between SRS and RSS procedures in terms of dispersive stochastic ordering. Finally, we discuss the RIG divergence measure between SRS and RSS frameworks
In this study, we consider different sampling designs of ranked set sampling (RSS) and give empirica...
Recently, a generalized ranked set sampling (RSS) scheme has been introduced which encompasses sever...
Ranked set sampling (RSS) is an advanced sampling method which is very effective for estimating mean...
This paper proposes a sampling procedure called selected ranked set sampling (SRSS), in which only s...
Ranked set sampling (RSS) is an efficient data collection framework compared to simple random sampli...
Nahhas, Wolfe, and Chen (2002, Biometrics 58, 964-971) considered optimal set size for ranked set sa...
The aim of this work is to introduce general notions of theory of order statistics and the method of...
The main focus of many agricultural, ecological and environmental studies is to develop well designe...
Ranked set sampling (RSS) is an advanced data collection method when the exact measurement of an obs...
Biradar and Santosha (2014) proposed maximum ranked set sampling procedure with unequal samples (MRS...
Ranked set sampling (RSS), suggested by McIntyre(1952), is a popular sampling strategy when the meas...
Ranked set sampling (RSS) is a method of data collection that makes use of the sampler’s judgment of...
Salehi and Ahmadi (2014) introduced a new sampling scheme for generating record-breaking data called...
The foundation of any statistical inference depends on the collection of required data through some ...
In this study, we introduce a new approach to the mean estimators in ranked set sampling. The amount...
In this study, we consider different sampling designs of ranked set sampling (RSS) and give empirica...
Recently, a generalized ranked set sampling (RSS) scheme has been introduced which encompasses sever...
Ranked set sampling (RSS) is an advanced sampling method which is very effective for estimating mean...
This paper proposes a sampling procedure called selected ranked set sampling (SRSS), in which only s...
Ranked set sampling (RSS) is an efficient data collection framework compared to simple random sampli...
Nahhas, Wolfe, and Chen (2002, Biometrics 58, 964-971) considered optimal set size for ranked set sa...
The aim of this work is to introduce general notions of theory of order statistics and the method of...
The main focus of many agricultural, ecological and environmental studies is to develop well designe...
Ranked set sampling (RSS) is an advanced data collection method when the exact measurement of an obs...
Biradar and Santosha (2014) proposed maximum ranked set sampling procedure with unequal samples (MRS...
Ranked set sampling (RSS), suggested by McIntyre(1952), is a popular sampling strategy when the meas...
Ranked set sampling (RSS) is a method of data collection that makes use of the sampler’s judgment of...
Salehi and Ahmadi (2014) introduced a new sampling scheme for generating record-breaking data called...
The foundation of any statistical inference depends on the collection of required data through some ...
In this study, we introduce a new approach to the mean estimators in ranked set sampling. The amount...
In this study, we consider different sampling designs of ranked set sampling (RSS) and give empirica...
Recently, a generalized ranked set sampling (RSS) scheme has been introduced which encompasses sever...
Ranked set sampling (RSS) is an advanced sampling method which is very effective for estimating mean...