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Indian Journal of Science and Technology

Article

Beta Lehmann-2 power function distribution with application to bladder cancer susceptibility and failure times of air-conditioned system
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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v13i23.178

Year: 2020, Volume: 13, Issue: 23, Pages: 2371-2386

Original Article

Beta Lehmann-2 power function distribution with application to bladder cancer susceptibility and failure times of air-conditioned system

Azam Zaka1*, Ahmad Saeed Akhter2, Riffat Jabeen3

1Government College of Science, Wahdat Road, Lahore, Pakistan. Tel.: +93-300-4364368
2College of Statistical and Actuarial Sciences, University of the Punjab, Lahore, Pakistan
3COMSATS University Islamabad Lahore Campus, Lahore, Pakistan

*Corresponding author
Azam Zaka
Tel.: +93-300-4364368
Email: [email protected]

 

Received Date:07 April 2020, Accepted Date:19 May 2020, Published Date:07 July 2020

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objectives: Probability distributions have great use in reliability engineering where the researchers try to find the distribution of the different processes. To meet the needs of the reliability engineers, we have proposed a simple probability distribution named as Beta Lehman-2 which may be proved more useful as compared to already existing models of the probability distributions. The aim of the study is to show the performance of the proposed distribution over already existing distributions. Methods: In this study, a new Beta Lehmann-2 Power function distribution (BL2PFD) is proposed. We suggest a new generator that will modify the Power function distribution called Beta Lehmann-2 generator (BL2-G). Findings: The various properties of the new distribution have been discussed in detail such as moments, vitality function, conditional moments and order statistics etc. We have also characterized the BL2PFD based on conditional variance. This distribution can be used for approximately symmetric data (normal data), positive and negative skewed data. Application: The application of this distribution is illustrated by using data sets from medical and engineering sources. The shape of the new distribution has been studied for applied sciences. After analyzing data, we conclude that the proposed model BL2PFD perform better in all the data sets while compared to different competitor models.

Keywords: Beta Lehmann-2 Power function distribution; Characterization of truncated distribution; Lehmann alternatives; Percentile estimator; Power function distribution

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Copyright

© 2020 Zaka, Akhter, Jabeen. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 
Published By Indian Society for Education and Environment (iSee)

  • 08 July 2020

Year: 2020, Volume: 13, Issue: 23

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