Cumulative Tsallis Entropy for Maximum Ranked Set Sampling with Unequal Samples
Statistics Theory
2020-11-04 v1 Statistics Theory
Abstract
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 nonadditive 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.
Keywords
Cite
@article{arxiv.2010.13139,
title = {Cumulative Tsallis Entropy for Maximum Ranked Set Sampling with Unequal Samples},
author = {S. Tahmasebi and M. Longobardi and M. R. Kazemi and M. Alizadeh},
journal= {arXiv preprint arXiv:2010.13139},
year = {2020}
}