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.
Cumulative Tsallis entropy for maximum ranked set sampling with unequal samples / Tahmasebi, S.; Longobardi, M.; Kazemi, M. R.; Alizadeh, M.. - In: PHYSICA. A. - ISSN 0378-4371. - 556:(2020). [10.1016/j.physa.2020.124763]
Cumulative Tsallis entropy for maximum ranked set sampling with unequal samples
Longobardi, M.
;
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 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.File | Dimensione | Formato | |
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