Right Truncated Shankar Distribution and its Properties
DOI:
https://doi.org/10.30526/38.1.4031Keywords:
Truncated distributions, Shanker distribution, probability density function, survival function, moment generating function. Abstract
Since the importance of truncated distributions has increased in many scientific fields in recent years and they provide valuable insights when dealing with censored or truncated data, this paper presents the Right Truncated Shanker Distribution as a new statistical distribution developed for modelling right truncated data. The distribution is defined by specifying its probability density function and cumulative distribution function under the truncation condition, the survival function and the hazard function. In addition, some properties of the right truncated Shanker distribution are derived, such as the moments around the origin, the variance, the coefficients of skewness and kurtosis, the moment generating function, and the mean time to failure. Our statistical properties show that the new distribution has the utility and flexibility to effectively model truncated data scenarios.
References
1. Shukla KK, Shanker R. Truncated akash distribution: properties and applications. Biometrics & Biostatistics International Journal. 2020;9(5):179–84. http://dx.doi.org/10.15406/bbij.2020.09.00317
2. Lindley DV. Fiducial distributions and Bayes’ Theorem. Journal of the Royal Statistical Society, Series B. 1958;20(1):102–7. https://doi.org/10.1111/j.2517-6161.1958.tb00278.x
3. Ghitany ME, Atieh B, Nadarajah S. Lindley distribution and its applications. Mathematics and Computers in Simulation. 2008;78(4):493–506. https://doi.org/10.1016/j.matcom.2007.06.007
4. Nadarajah S, Haghighi F. An extension of the exponential distribution. Statistics. 2010;45(6):543–58. https://doi.org/10.1080/02331881003678678
5. Alnssyan B. The Modified-Lomax Distribution: Properties, Estimation Methods, and Application. Symmetry. 2023;15(7):1367. https://doi.org/10.3390/sym15071367
6. Shanker R. Komal distribution with properties and application in survival analysis. Biometrics & Biostatistics International Journal. 2023;12(2):40–4. http://dx.doi.org/10.15406/bbij.2023.12.00381
7. Jawitz JW. Moments of truncated continuous univariate distributions. Advances in Water Resources. 2004;27(3):269–81. http://dx.doi.org/10.1016/j.advwatres.203.12.002
8. Singh SK, Singh U, Sharma VK. The truncated Lindley distribution: Inference and application. Journal of Statistics Applications and Probability. 2014;3(2):2019–28. http://dx.doi.org/10.12785/jsap/030212
9. Najarzadegan H, Alamatsaz MH, Saied H. Truncated Weibull-G more flexible and more reliable than beta-G distribution. International Journal of Statistics and Probability. 2017;6:1–17. http://dx.doi.org/10.5539/ijsp.v6n5p1
10. Abid S, Abdulrazak. [0, 1] truncated Frechet-Weibull and Frechet distributions. International Journal of
Research in Industrial Engineering. 2018;7:106–35. https://doi.org/10.22105/riej.2018.100865.1020
11. Akbarinasab M, Arabpour AR, Mahdavi A. Truncated log-logistic family of distributions. Journal of Biostatistics and Epidemiology. 2019;5(2):137–47. https://doi.org/10.18502/jbe.v5i2.2345
12. Altawil J. [0,1] truncated lomax–lomax distribution with properties. Journal of Kufa for Mathematics and Computer. 2021;8(1):1–8. https://doi.org/10.31642/JoKMC/2018/08010
13. Gul A, Mohsin M, Adil M, Ali M. A modified truncated distribution for modeling the heavy tail, engineering and environmental sciences data. PLoS ONE. 2021;16(4). https://doi.org/10.1371/journal.pone.0249001
14. Khaleel MA, Abdulwahab MA, Gaftan AM, Abdal-hammed MK. A new [0, 1] truncated inverse Weibull Rayleigh distribution properties with application to COVID-19. International Journal of Nonlinear Analysis and Applications. 2022;13(1):2933–46.
15. Abbas S, Farooq M, Darwish JA, Shahbaz SH, Shahbaz MQ. Truncated Weibull–exponential distribution: methods and applications. Scientific Reports. 2023;13(1). https://doi.org/10.1038/s41598-023-48288-x
16. Hussein LK, Abdullah Rasheed H, Hasan Hussein I. A Class of Exponential Rayleigh Distribution and New Modified Weighted Exponential Rayleigh Distribution with Statistical Properties. Ibn AL-Haitham Journal for Pure and Applied Sciences. 2023;36(2):390–406. https://doi.org/10.30526/36.2.3044
17. Qasim BA. A new Left Truncated Gumbel-Exponential distribution: Properties and estimation. AIP Conference Proceedings. 2023. https://doi.org/10.1063/5.0118651
18. Kalaf BA, Abdul Ameer JN, Madaki UY. Truncated Inverse Generalized Rayleigh Distribution and Some Properties. Ibn AL-Haitham Journal for Pure and Applied Sciences. 2023;36(4):414–28. https://doi.org/10.30526/36.4.2977
19. Shanker R. Shanker distribution and its applications. International Journal of Statistics and Applications. 2015;5(6):338–48. http://dx.doi.org/10.5923/j.statistics.20150506.08
20. Aryuyuen S, Bodhisuwan W. The truncated power Lomax distribution: Properties and applications. Walailak Journal of Science and Technology. 2019;16(9):655–68. https://doi.org/10.48048/wjst.2019.4542
21. Mohammed MJ, Hussein IH. Some estimation methods for new mixture distribution with simulation and application. IOP Conference Series: Materials Science and Engineering. 2019;571(1). https://doi.org/10.1088/1757-899X/571/1/012014
22. Shanker R, Upadhyay R, Shukla KK. A quasi Suja distribution. Reliability: Theory & Applications. 2022;17(3(69)):162–78.
23. Ibrahim, A., Kalaf, B. Estimation of the survival function based on the log-logistic distribution. International Journal of Nonlinear Analysis and Applications, 2022; 13(1): 127-141. https://doi.org/10.22075/ijnaa.2022.5466
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Ibn AL-Haitham Journal For Pure and Applied Sciences
This work is licensed under a Creative Commons Attribution 4.0 International License.
licenseTerms