Version 1
: Received: 17 September 2020 / Approved: 18 September 2020 / Online: 18 September 2020 (10:16:23 CEST)
How to cite:
Khadim, A.; Saghir, A.; Hussain, T. A log-Dagum Weibull Distribution: Properties and Characterization. Preprints2020, 2020090428. https://doi.org/10.20944/preprints202009.0428.v1
Khadim, A.; Saghir, A.; Hussain, T. A log-Dagum Weibull Distribution: Properties and Characterization. Preprints 2020, 2020090428. https://doi.org/10.20944/preprints202009.0428.v1
Khadim, A.; Saghir, A.; Hussain, T. A log-Dagum Weibull Distribution: Properties and Characterization. Preprints2020, 2020090428. https://doi.org/10.20944/preprints202009.0428.v1
APA Style
Khadim, A., Saghir, A., & Hussain, T. (2020). A log-Dagum Weibull Distribution: Properties and Characterization. Preprints. https://doi.org/10.20944/preprints202009.0428.v1
Chicago/Turabian Style
Khadim, A., Aamir Saghir and Tassaddaq Hussain. 2020 "A log-Dagum Weibull Distribution: Properties and Characterization" Preprints. https://doi.org/10.20944/preprints202009.0428.v1
Abstract
Developments of new probability models for data analysis are keen interest of importance for all fields. The log-Dagum distribution has a prominent role in the theory and practice of statistics. In this article, a new family of continuous distributions generated from a log Dagum random variable called the log-Dagum Weibull distribution is proposed. The key properties of the proposed distribution are derived. Its density function can be symmetrical, left-skewed, right-skewed and reversed-J shaped and can have increasing, decreasing, bathtub hazard rates shaped. The model parameters are estimated by the method of maximum likelihood and illustrate its importance by means of applications to real data sets.
Keywords
probability distributions; log-dagum distribution; parameter estimation; weibull distribution
Subject
Computer Science and Mathematics, Probability and Statistics
Copyright:
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.