A comprehensive review of datasets for statistical research in probability and quality control

Muhammad Z. Arshad, Muhammad Z. Iqbal, Alya Al Mutairi

Abstract


This paper aims to promote the utility of datasets and to facilitate the practitioners of applied, theoretical as well as research scholars, whose research work is suffering owing to the unavailability of data. For this, we develop a list of one hundred and eleven; most cited datasets are classified in such an organized way under one roof so that it might be helpful. Accordingly, we have pursued the International Impact Factor and Peer-Reviewed journals and books to acquire the multidisciplinary univariate continuous real-time datasets. All the datasets are systematized according to the following characters such as (i) (0, ∞), (0, 1), (-∞, ∞), and (ii) left-skewed, right-skewed, symmetric, bath-tub, bi-modal, and tri-modal shapes. However, this comprehensive paper will provide a solid foundation to the practitioners and researchers and they may continue their research work for the betterment of this world.

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Published: 2021-05-17

How to Cite this Article:

Muhammad Z. Arshad, Muhammad Z. Iqbal, Alya Al Mutairi, A comprehensive review of datasets for statistical research in probability and quality control, J. Math. Comput. Sci., 11 (2021), 3663-3728

Copyright © 2021 Muhammad Z. Arshad, Muhammad Z. Iqbal, Alya Al Mutairi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

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