H. S. Al-Kzzaz
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
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Research Interests
H. S. Al-Kzzaz has a total of 1 co-authors. Here are the top co-authors by number of shared publications:
- Mohamed Mohamed Ezzat Abd El‐Monsef
Faculty of Science, Tanta University, Egypt
1 shared publication
Latest Publications
- 10 March 2021
- Published by Taylor & Francis in Journal of Applied Statistics
- Vol. 49 (9) , 2287-2306
Inverse power Maxwell distribution: statistical properties, estimation and application
In this paper, we introduced a new probability distribution named as inverse power Maxwell distribution. The proposal distribution can be seen as an extension of the Maxwell distribution with more flexibility in modeling upside-down lifetime data. Some statistical properties of this distribution are derived. In estimation viewpoint, five methods are used for estimating the unknown parameters of the distribution and these methods are performed through the simulation study. Finally, two real data sets were analyzed to illustrate the applicability of the proposed distribution, proving that it fits each real data set much better than some other existing distributions.
- 10 March 2021
- Published by Taylor & Francis in Journal of Applied Statistics
- Vol. 49 (9) , 2287-2306
Inverse power Maxwell distribution: statistical properties, estimation and application
In this paper, we introduced a new probability distribution named as inverse power Maxwell distribution. The proposal distribution can be seen as an extension of the Maxwell distribution with more flexibility in modeling upside-down lifetime data. Some statistical properties of this distribution are derived. In estimation viewpoint, five methods are used for estimating the unknown parameters of the distribution and these methods are performed through the simulation study. Finally, two real data sets were analyzed to illustrate the applicability of the proposed distribution, proving that it fits each real data set much better than some other existing distributions.