In this paper, we consider the information content of maximum ranked set sampling procedure with unequal samples (MRSSU) in terms of Tsallis entropy which is a non-additive generalization of Shannon entropy. We obtain several results of Tsallis entropy including bounds, monotonic properties, stochastic orders, and sharp bounds under some assumptions. We also compare the uncertainty and information content of MRSSU with its counterpart in the simple random sampling (SRS) data. Finally, we develop some characterization results in terms of cumulative Tsallis entropy and residual Tsallis entropy of MRSSU and SRS data
Ranked set sampling (RSS) is known to be superior to the traditional simple random sampling (SRS) i...
The concept of entropy plays a crucial role in information theory. Many authors obtained several pro...
To overcome the drawbacks of Shannon's entropy, the concept of cumulative residual and past entropy ...
In this paper, we consider the information content of maximum ranked set sampling procedure with une...
Biradar and Santosha (2014) proposed maximum ranked set sampling procedure with unequal samples (MRS...
The entropy of Tsallis is a different measure of uncertainty for the Shannon entropy. The present wo...
Salehi and Ahmadi (2014) introduced a new sampling scheme for generating record-breaking data called...
We propose a generalized cumulative residual information measure based on Tsallis entropy and its dy...
Recently, an alternative measure of uncertainty called cumulative residual extropy (CREX) was propos...
In this study, we introduce a new approach to the mean estimators in ranked set sampling. The amount...
There is no generally accepted definition for conditional Tsallis entropy. The standard definition o...
We give a characterization of Maximum Entropy/Minimum Relative Entropy inference by providing two ‘s...
In density estimation task, Maximum Entropy (Maxent) model can effectively use reliable prior inform...
Ranked set sampling (RSS) is known to be superior to the traditional simple random sampling (SRS) i...
The concept of entropy plays a crucial role in information theory. Many authors obtained several pro...
To overcome the drawbacks of Shannon's entropy, the concept of cumulative residual and past entropy ...
In this paper, we consider the information content of maximum ranked set sampling procedure with une...
Biradar and Santosha (2014) proposed maximum ranked set sampling procedure with unequal samples (MRS...
The entropy of Tsallis is a different measure of uncertainty for the Shannon entropy. The present wo...
Salehi and Ahmadi (2014) introduced a new sampling scheme for generating record-breaking data called...
We propose a generalized cumulative residual information measure based on Tsallis entropy and its dy...
Recently, an alternative measure of uncertainty called cumulative residual extropy (CREX) was propos...
In this study, we introduce a new approach to the mean estimators in ranked set sampling. The amount...
There is no generally accepted definition for conditional Tsallis entropy. The standard definition o...
We give a characterization of Maximum Entropy/Minimum Relative Entropy inference by providing two ‘s...
In density estimation task, Maximum Entropy (Maxent) model can effectively use reliable prior inform...
Ranked set sampling (RSS) is known to be superior to the traditional simple random sampling (SRS) i...
The concept of entropy plays a crucial role in information theory. Many authors obtained several pro...
To overcome the drawbacks of Shannon's entropy, the concept of cumulative residual and past entropy ...