Research Article

An Extension of the UEHL Distribution Based on the DUS Transformation

Number: 44 September 30, 2023
EN

An Extension of the UEHL Distribution Based on the DUS Transformation

Abstract

In this study, we propose a new distribution based on the Dinesh, Umesh, and Sanjay (DUS) transformation by using the Unit Exponentiated Half-Logistic (UEHL) distribution as the baseline distribution, a member of the family of proportional hazard rate models. Moreover, we study several properties, such as moments, skewness, kurtosis, stress-strength reliability, and likelihood ratio ordering. Further, we discuss the statistical inference on the parameters of the proposed distribution by the maximum likelihood estimation (MLE) method. Besides, we conduct a simulation based on the new distribution to investigate the behavior of the maximum likelihood estimates in various conditions. Furthermore, we present a numerical example to show the performance of the distribution on a real-life data set. Finally, we discuss the need for further research.

Keywords

References

  1. D. P. Murthy, M. Xie, R. Jiang, Weibull Models, Wiley, New Jersey, 2004.
  2. J. I. McCool, Using the Weibull Distribution: Reliability, Modeling, and Inference, Wiley, New Jersey, 2012.
  3. M. Aslam, M. Azam, S. Balamurali, C. H. Jun, An Economic Design of a Group Sampling Plan for a Weibull Distribution Using a Bayesian Approach, Journal of Testing and Evaluation 43 (6) (2015) 1497–1503.
  4. S. J. Almalki, S. Nadarajah, Modifications of the Weibull Distribution: A Review, Reliability Engineering & System Safety 124 (1) (2014) 32–55.
  5. J. M. Carrasco, E. M. Ortega, G. M. Cordeiro, A Generalized Modified Weibull Distribution for Lifetime Modeling, Computational Statistics & Data Analysis 53 (2) (2008) 450–462.
  6. H. Pham, C. D. Lai, On Recent Generalizations of the Weibull Distribution, IEEE Transactions on Reliability 56 (2007) (3) 454–458.
  7. C. D. Lai, Generalized Weibull Distributions, Springer, Berlin, Heidelberg, 2013.
  8. J. Dombi, T. Jonas, Z. E. Toth, G. Arva, The Omega Probability Distribution and Its Applications in Reliability Theory, Quality and Reliability Engineering International 35 (2) (2019) 600–626.

Details

Primary Language

English

Subjects

Statistical Theory, Probability Theory

Journal Section

Research Article

Publication Date

September 30, 2023

Submission Date

June 20, 2023

Acceptance Date

September 18, 2023

Published in Issue

Year 2023 Number: 44

APA
Genç, M., & Özbilen, Ö. (2023). An Extension of the UEHL Distribution Based on the DUS Transformation. Journal of New Theory, 44, 20-30. https://doi.org/10.53570/jnt.1317652
AMA
1.Genç M, Özbilen Ö. An Extension of the UEHL Distribution Based on the DUS Transformation. JNT. 2023;(44):20-30. doi:10.53570/jnt.1317652
Chicago
Genç, Murat, and Ömer Özbilen. 2023. “An Extension of the UEHL Distribution Based on the DUS Transformation”. Journal of New Theory, nos. 44: 20-30. https://doi.org/10.53570/jnt.1317652.
EndNote
Genç M, Özbilen Ö (September 1, 2023) An Extension of the UEHL Distribution Based on the DUS Transformation. Journal of New Theory 44 20–30.
IEEE
[1]M. Genç and Ö. Özbilen, “An Extension of the UEHL Distribution Based on the DUS Transformation”, JNT, no. 44, pp. 20–30, Sept. 2023, doi: 10.53570/jnt.1317652.
ISNAD
Genç, Murat - Özbilen, Ömer. “An Extension of the UEHL Distribution Based on the DUS Transformation”. Journal of New Theory. 44 (September 1, 2023): 20-30. https://doi.org/10.53570/jnt.1317652.
JAMA
1.Genç M, Özbilen Ö. An Extension of the UEHL Distribution Based on the DUS Transformation. JNT. 2023;:20–30.
MLA
Genç, Murat, and Ömer Özbilen. “An Extension of the UEHL Distribution Based on the DUS Transformation”. Journal of New Theory, no. 44, Sept. 2023, pp. 20-30, doi:10.53570/jnt.1317652.
Vancouver
1.Murat Genç, Ömer Özbilen. An Extension of the UEHL Distribution Based on the DUS Transformation. JNT. 2023 Sep. 1;(44):20-3. doi:10.53570/jnt.1317652

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