May 15, 2024
Morad Alizadeh

Morad Alizadeh

Academic Rank: Assistant professor
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Degree: Ph.D in Statistics
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Faculty: Faculty of Intelligent Systems and Data Science

Research

Title Cumulative Tsallis entropy for maximum ranked set sampling with unequal samples
Type Article
Keywords
Tsallis entropy; Cumulative Tsallis entropy; Ranked set sampling
Journal PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
DOI https://doi.org/10.1016/j.physa.2020.124763
Researchers Saeid Tahmasebi (First researcher) , Maria Longobardi (Second researcher) , Mohammad Reza Kazemi (Third researcher) , Morad Alizadeh (Fourth researcher)

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 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