New estimation of Zipf–Mandelbrot and Shannon entropies via refinements of Jensen’s inequality
Zipf–Mandelbrot and Shannon entropies are some basic and useful tools to quantify information about certain phenomena in various fields of science and technology, for example statistics, ecology, biology, and information theory. In this paper, we obtain some new bounds for generalized Shannon and Zi...
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2021-01-01
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Online Access: | http://dx.doi.org/10.1063/5.0039672 |
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doaj-36fb7dd02a6c4de9a3d0231373759c3b2021-02-02T21:32:44ZengAIP Publishing LLCAIP Advances2158-32262021-01-01111015147015147-910.1063/5.0039672New estimation of Zipf–Mandelbrot and Shannon entropies via refinements of Jensen’s inequalityKhurshid Ahmad0Muhammad Adil Khan1Shahid Khan2Amjad Ali3Yu-Ming Chu4Department of Statistics, Islamia College Peshawar, Peshawar 25000, PakistanDepartment of Mathematics, University of Peshawar, Peshawar 25000, PakistanDepartment of Mathematics, University of Peshawar, Peshawar 25000, PakistanDepartment of Statistics, Islamia College Peshawar, Peshawar 25000, PakistanDepartment of Mathematics, Huzhou University, Huzhou 313000, ChinaZipf–Mandelbrot and Shannon entropies are some basic and useful tools to quantify information about certain phenomena in various fields of science and technology, for example statistics, ecology, biology, and information theory. In this paper, we obtain some new bounds for generalized Shannon and Zipf–Mandelbrot entropies by using some specific refinements of Jensen’s inequality. Then, as a consequence of these bounds, we deduce some new bounds for Zipf–Mandelbrot and Shannon entropies. Finally, we demonstrate the sharpness of the proposed bounds through numerical experiments.http://dx.doi.org/10.1063/5.0039672 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Khurshid Ahmad Muhammad Adil Khan Shahid Khan Amjad Ali Yu-Ming Chu |
spellingShingle |
Khurshid Ahmad Muhammad Adil Khan Shahid Khan Amjad Ali Yu-Ming Chu New estimation of Zipf–Mandelbrot and Shannon entropies via refinements of Jensen’s inequality AIP Advances |
author_facet |
Khurshid Ahmad Muhammad Adil Khan Shahid Khan Amjad Ali Yu-Ming Chu |
author_sort |
Khurshid Ahmad |
title |
New estimation of Zipf–Mandelbrot and Shannon entropies via refinements of Jensen’s inequality |
title_short |
New estimation of Zipf–Mandelbrot and Shannon entropies via refinements of Jensen’s inequality |
title_full |
New estimation of Zipf–Mandelbrot and Shannon entropies via refinements of Jensen’s inequality |
title_fullStr |
New estimation of Zipf–Mandelbrot and Shannon entropies via refinements of Jensen’s inequality |
title_full_unstemmed |
New estimation of Zipf–Mandelbrot and Shannon entropies via refinements of Jensen’s inequality |
title_sort |
new estimation of zipf–mandelbrot and shannon entropies via refinements of jensen’s inequality |
publisher |
AIP Publishing LLC |
series |
AIP Advances |
issn |
2158-3226 |
publishDate |
2021-01-01 |
description |
Zipf–Mandelbrot and Shannon entropies are some basic and useful tools to quantify information about certain phenomena in various fields of science and technology, for example statistics, ecology, biology, and information theory. In this paper, we obtain some new bounds for generalized Shannon and Zipf–Mandelbrot entropies by using some specific refinements of Jensen’s inequality. Then, as a consequence of these bounds, we deduce some new bounds for Zipf–Mandelbrot and Shannon entropies. Finally, we demonstrate the sharpness of the proposed bounds through numerical experiments. |
url |
http://dx.doi.org/10.1063/5.0039672 |
work_keys_str_mv |
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