New Transmuted Rayleigh-Weibull Distribution: Structure and Properties
DOI:
https://doi.org/10.30526/39.2.4306Keywords:
Rayleigh-Weibull Distribution , Survival function , Moments about the origin , Quantile function , ModeAbstract
In this research, the new distribution is built depending on the Rayleigh-Weibull distribution, which is called a new transmuted Rayleigh-Weibull distribution (T R W D). The distribution was built by adding the conversion parameter ß, |ß| ≤1, which contributes to an increase in the flexibility of distribution. At first, the probability cumulative function, the probability density function, the hazard function, and the survival function were found by relying on the transformation rules, and the shapes for these main functions will be discussed at (x⇒∞) and (x⇒0). In addition to this, prove the statistical properties of this distribution, which encompass the median, mean, and moments about the origin. Consequently, by studying the moments of the origin, they found the variance and the first moment, skewness, and kurtosis. In addition, a table will be made to show these properties at different parameter values. Also, it will be found to have a characteristic function, a factorial generating function, a mean time to failure, a quantile function, and the median.
References
1.Mohammed MJ, Ashoor NE, Madaki UY. New lifetime Shanker Weibull distribution: structure and Properties. Ibn AL-Haitham J Pure Appl Sci. 2025;38(2):388–401. https://doi.org/10.30526/38.2.3842
2. Gupta RD, Kundu D. Generalized exponential distribution: existing results and some recent developments. J Stat Plan Inference. 2007;137(11):3537–3547. http://doi.org/10.1016/j.jspi.2007.03.030
3. Afify AZ, Nofal ZM, Ebraheim AEHN. Exponentiated transmuted generalized rayleigh distribution: a new four parameter rayleigh distribution. Pakistan J Stat Oper Res. 2015;11(1):115-134.
4. Hady A, Shalaby M. Transmuted Laplace distribution : properties and applications. Am J Appl Math Stat. 2016;4(3):94–98.
5. Shaw W, Buckley I. The alchemy of probability distributions: beyond Gram-Charlier expansions, and a skew-kurtotic-normal distribution from a rank transmutation map. Phys Scr. 2009;1–8.
6. Merovci F. Transmuted Rayleigh distribution. Austrian J Stat . 2016;42(1):21–31. https://doi.org/10.17713/ajs.v42i1.163
7. Aryal GR, Tsokos CP. On the transmuted extreme value distribution with application. Nonlinear Anal Theory, Methods Appl. 2009;71(12):1401–1407. http://doi.org/10.1016/j.na.2009.01.168
8. Shuaib Khan M, King R. Transmuted modified Weibull distribution: a generalization of the modified Weibull probability distribution. Eur J Pure Appl Math. 2013;6(1):66–88.
9. Azzwideen R, Zou’bi LM Al. The transmuted Gamma-Gompertz distribution. Int J Res -Granthaalayah. 2020;8(10):236–248. http://doi.org/10.29121/granthaalayah.v8.i10.2020.1892.
10. Ashour SK, Eltehiwy MA. Transmuted Lomax distribution. Am J Appl Math Stat. 2013;1(6):121–127. https://doi.org/10.12691/ajams-1-6-3
11. Rahman MM, Al-Zahrani B, Shahbaz SH, Shahbaz MQ. Transmuted probability distributions: a review. Pakistan J Stat Oper Res. 2020;16(1):83–94. https://doi.org/10.18187/PJSOR.V16I1.3217.
12. Oguntunde P, Adejumo O. The transmuted inverse exponential distribution. Int J Adv Stat Probab. 2014;3(1):1–7. https://doi.org/10.14419/ijasp.v3i1.3684
13. Gharaibeh MM, Al-Omari AI. Transmuted Ishita distribution and its applications. J Stat Appl Probab. 2019;8(2):67–81. http://doi.org/10.18576/jsap/080201
14. Leão J, Saulo H, Bourguignon M, Cintra R, Rêgo L, Cordeiro G. On some properties of the beta inverse Rayleigh distribution. arXiv [Preprint]. 2022. https://doi.org/10.48550/arXiv.2206.01229
15. Alzaatreh A, Famoye F, Lee C. The gamma-normal distribution : properties and applications. Comput Stat Data Anal. 2014;69:67–80.https://doi.org/10.1016/j.csda.2013.07.035
16. Alzaatreh A, Lee C, Famoye F. Family of generalized gamma distributions: properties and applications. Hacettepe J Math Stat. 2016;45(3):869–886.
17. Bhat AA, Ahmad SP. An extension of exponentiated Rayleigh distribution: properties and applications. Thail Stat. 2023;21(1):209–227.
18. Poonia N, Azad S. A new exponentiated generalized linear exponential distribution: properties and application. RMS Res Math Stat. 2021;8(1). https://doi.org/10.1080/27658449.2021.1953233
19. Abonongo AIL, Abonongo J. Exponentiated generalized Weibull exponential distribution: properties, estimation and applications. Comput J Math Stat Sci. 2024;3(1):57–84.
20. Shakhatreh MK, Lemonte AJ, Cordeiro GM. On the generalized extended exponential-Weibull distribution: properties and different methods of estimation. Int J Comput Math. 2020;97(5):1029–1057. https://doi.org/10.1080/00207160.2019.1605062
21. Jabeen S, Para B. Exponentiated Gamma exponential distribution. Sohag J Math An Int J. 2018;5(3):79.
22. Refaie M. Burr x exponentiated exponential distribution. J Stat Appl Probab. 2018;7(3):521–534 .
23. Hassan AS, Assar SM, Abdelghaffar AM. Statistical properties and estimation of power-transmuted inverse Rayleigh distribution. Stat Transit New Ser. 2020;21(3):93–107. https://doi.org/10.21307/stattrans-2020-046
24. Shallan RN, Alkanani IH. Statistical properties of generalized exponential Rayleigh distribution. palest j math . 2023;12(i):46–58.
25. Adewara JA, Adeyeye JS, Khaleel MA, Aako OL, Mundher A. Exponentiated Gompertz exponential (EGoE) distribution: derivation, properties and applications. İstatistik: J Turk Stat Assoc. 2021;13(1):12-28.
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