Log-Kumaraswamy distribution: its features and applications

Autor: Aliyu Ismail Ishaq, Ahmad Abubakar Suleiman, Hanita Daud, Narinderjit Singh Sawaran Singh, Mahmod Othman, Rajalingam Sokkalingam, Pitchaya Wiratchotisatian, Abdullahi Garba Usman, Sani Isah Abba
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)
Druh dokumentu: article
ISSN: 2297-4687
DOI: 10.3389/fams.2023.1258961
Popis: 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.
Databáze: Directory of Open Access Journals