Information Generating Function of Ranked Set Samples

In the present paper, we study the information generating (IG) function and relative information generating (RIG) function measures associated with maximum and minimum ranked set sampling (RSS) schemes with unequal sizes. We also examine the IG measures for simple random sampling (SRS) and provide s...

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Autores principales:	Omid Kharazmi, Mostafa Tamandi, Narayanaswamy Balakrishnan
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	information generating function relative information generating function Kullback–Leibler divergence ranked set sampling simple random sampling Science Q Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/44dce2bef7954f149d1aa3e600908843
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spelling	oai:doaj.org-article:44dce2bef7954f149d1aa3e6009088432021-11-25T17:29:09ZInformation Generating Function of Ranked Set Samples10.3390/e231113811099-4300https://doaj.org/article/44dce2bef7954f149d1aa3e6009088432021-10-01T00:00:00Zhttps://www.mdpi.com/1099-4300/23/11/1381https://doaj.org/toc/1099-4300In the present paper, we study the information generating (IG) function and relative information generating (RIG) function measures associated with maximum and minimum ranked set sampling (RSS) schemes with unequal sizes. We also examine the IG measures for simple random sampling (SRS) and provide some comparison results between SRS and RSS procedures in terms of dispersive stochastic ordering. Finally, we discuss the RIG divergence measure between SRS and RSS frameworks.Omid KharazmiMostafa TamandiNarayanaswamy BalakrishnanMDPI AGarticleinformation generating functionrelative information generating functionKullback–Leibler divergenceranked set samplingsimple random samplingScienceQAstrophysicsQB460-466PhysicsQC1-999ENEntropy, Vol 23, Iss 1381, p 1381 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	information generating function relative information generating function Kullback–Leibler divergence ranked set sampling simple random sampling Science Q Astrophysics QB460-466 Physics QC1-999
spellingShingle	information generating function relative information generating function Kullback–Leibler divergence ranked set sampling simple random sampling Science Q Astrophysics QB460-466 Physics QC1-999 Omid Kharazmi Mostafa Tamandi Narayanaswamy Balakrishnan Information Generating Function of Ranked Set Samples
description	In the present paper, we study the information generating (IG) function and relative information generating (RIG) function measures associated with maximum and minimum ranked set sampling (RSS) schemes with unequal sizes. We also examine the IG measures for simple random sampling (SRS) and provide some comparison results between SRS and RSS procedures in terms of dispersive stochastic ordering. Finally, we discuss the RIG divergence measure between SRS and RSS frameworks.
format	article
author	Omid Kharazmi Mostafa Tamandi Narayanaswamy Balakrishnan
author_facet	Omid Kharazmi Mostafa Tamandi Narayanaswamy Balakrishnan
author_sort	Omid Kharazmi
title	Information Generating Function of Ranked Set Samples
title_short	Information Generating Function of Ranked Set Samples
title_full	Information Generating Function of Ranked Set Samples
title_fullStr	Information Generating Function of Ranked Set Samples
title_full_unstemmed	Information Generating Function of Ranked Set Samples
title_sort	information generating function of ranked set samples
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/44dce2bef7954f149d1aa3e600908843
work_keys_str_mv	AT omidkharazmi informationgeneratingfunctionofrankedsetsamples AT mostafatamandi informationgeneratingfunctionofrankedsetsamples AT narayanaswamybalakrishnan informationgeneratingfunctionofrankedsetsamples
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Information Generating Function of Ranked Set Samples

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