eprintid: 19062
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/90/62
datestamp: 2024-06-04 14:11:30
lastmod: 2024-06-04 14:11:30
status_changed: 2024-06-04 14:04:45
type: article
metadata_visibility: show
creators_name: Ishaq, A.I.
creators_name: Suleiman, A.A.
creators_name: Daud, H.
creators_name: Singh, N.S.S.
creators_name: Othman, M.
creators_name: Sokkalingam, R.
creators_name: Wiratchotisatian, P.
creators_name: Usman, A.G.
creators_name: Abba, S.I.
title: Log-Kumaraswamy distribution: its features and applications
ispublished: pub
note: cited By 2
abstract: This article aimed to present a new continuous probability density function for a non-negative random variable that serves as an alternative to some bounded domain distributions. The new distribution, termed the log-Kumaraswamy distribution, could faithfully be employed to compete with bounded and unbounded random processes. Some essential features of this distribution were studied, and the parameters of its estimates were obtained based on the maximum product of spacing, least squares, and weighted least squares procedures. The new distribution was proven to be better than traditional models in terms of flexibility and applicability to real-life data sets. Copyright © 2023 Ishaq, Suleiman, Daud, Singh, Othman, Sokkalingam, Wiratchotisatian, Usman and Abba.
date: 2023
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176587855&doi=10.3389%2ffams.2023.1258961&partnerID=40&md5=c9e5f27b1975658000f7e88665782d8c
id_number: 10.3389/fams.2023.1258961
full_text_status: none
publication: Frontiers in Applied Mathematics and Statistics
volume: 9
refereed: TRUE
citation:   Ishaq, A.I. and Suleiman, A.A. and Daud, H. and Singh, N.S.S. and Othman, M. and Sokkalingam, R. and Wiratchotisatian, P. and Usman, A.G. and Abba, S.I.  (2023) Log-Kumaraswamy distribution: its features and applications.  Frontiers in Applied Mathematics and Statistics, 9.