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Cumulative Tsallis Entropy for Maximum Ranked Set Sampling with Unequal Samples

Authors :
Tahmasebi, S.
Longobardi, M.
Kazemi, M. R.
Alizadeh, M.
Publication Year :
2020

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.

Subjects

Subjects :
Mathematics - Statistics Theory

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2010.13139
Document Type :
Working Paper
Full Text :
https://doi.org/10.1016/j.physa.2020.124763