THE ODD TEISSIER KUMARASWAMY DISTRIBUTION: A NEW DISTRIBUTION WITH INTERVAL BOUND
DOI:
https://doi.org/10.33003/fjs-2026-1007-5263Keywords:
Teissier, Odd Teissier Kumaraswamy, Unit Interval, Simulation, FlexibilityAbstract
This study introduces a new probability distribution on a unit interval called the Odd Teissier Kumaraswamy (OTKw) distribution, and the aim is to improve the flexibility of the Teissier distribution in modeling lifetime data. The new distribution exhibits exceptional flexibility in modelling data with increasing and bathtub hazard rates. The key statistical properties of the proposed distribution such as the moments, moment generating function, probability weighted moments, quantile, Renyi entropy, and order statistics are derived. The parameters of the proposed distribution are estimated using the maximum likelihood estimation (MLE) method. A simulation study is carried out to examine the performance of the MLEs concerning their biases, standard errors, and root mean square errors (RMSE). Finally, to illustrate the practical importance and flexibility of the proposed distribution in modelling real data applications, three data sets were considered, and the results showed that the new distribution performs better than some other known existing distributions.
References
Alizadeh, M., Emadi, M., Doostparast, M, Cordeiro, G.M., Ortega, E.M.M., & Pescim, R.R. (2015a). A new family of distributions: the Kumaraswamy odd log-logistic, properties and applications. Hacettepe Journal of Mathematics and Statistics, 44, 1491-1512.
Alizadeh M., Tahir M.H., Cordeiro G. M., Mansoor M., Zubair M., & Hamedani G.G. (2015b). The Kumaraswamy Marshal-Olkin family of distributions. Journal of the Egyptian Mathematical Society; 23 (3); 546-557, Doi: https://doi.org/10.1016/j.joems.2014.12.002
Alzaatreh, A., C. Lee, & Famoye. F. (2013). A new method for generating families of continuous distributions. Metron; 71 (1):63-79.
Alexander, C., G. M. Cordeiro, E. M. Ortega, & Sarabia. J. M. (2012). Generalized beta-generated distributions. Computational Statistics and Data Analysis; 56 (6):1880- 1897.
Alsadat, N.; Elgarhy, M., Karakaya, K.; Gemeay, A.M., Chesneau, C., & Abd El-Raouf, M. M. (2023). Inverse Unit Teissier Distribution: Theory and Practical Examples. Axioms; 2023, 12, 502. Doi: https://doi.org/10.3390/axioms12050502.
Cordeiro, G. M., & M. de Castro. (2011). A new family of generalized distributions. Journal of Statistical Computation and Simulation; 81 (7):883-898.
Cordeiro, G. M. & Brito, R. S. “The Beta Power Distribution”. Brazilian Journal of Probability and Statistics; 26(1): 88-112, (2012).
Cordeiro, G. M., OrtegaE. M., & Da Cunha D. C. (2013d). The exponentiated generalized class of distributions. Journal of Data Science; 11 (1):1-27.
Cordeiro, Gauss Moutinho, Morad Alizadeh, Gamze Ozel, Bistoon Hosseini, Edwin Moises Marcos Ortega, & Emrah Altun. (2017). The generalized odd log-logistic family of distributions: properties, regression models and applications. Journal of Statistical Computation and Simulation; 87 (5): 908-932.
Dumonceaux, R., & Antle, C. (1973) Discrimination between the Lognormal and Weibull Distribution. Technometrics; 15, 923-926. Doi: http://dx.doi.org/10.1080/00401706.1973.10489124
Eghwerido J. T., Nzei L. C., Omotoye A.E., & Agu F.I. (2022). The Teissier-G Family of Distributions: Properties and Applications, Mathematical Slovaca; 72 (5); 1301–1318. DOI: https://doi.org/10.1515/ms-2022-0089
Eghwerido J. T. (2022). The Marshall – Olkin Teissier generated model for lifetime data. Journal of the Belarusian State University. Mathematics and Informatics; 1:46–65. Doi: https://doi.org/10.33581/2520-6508-2022-1-46-65
Eugene, N., C. Lee, & Famoye. F. (2002). Beta-normal distribution and its applications. Communications in Statistics-Theory and methods; 31 (4):497-512.
Halidu, L., Usman, U., & Audu, A. (2025). On THE Lomax-Unit Teissier Distribution: Properties and Its Applications, FUDMA Journal of Sciences, Vol. 9 (1), pp 225 – 233. DOI: https://doi.org/10.33003/f js-2025-0901-3039
Hassan, A.S., & Elgarhy, M. (2016) Kumaraswamy Weibull-Generated Family of Distributions with Applications. Advances and Application in Statistics, 48, 205-239.
Krishna, A., Maya, R., Chesneau, C., & Irshad, M. R. (2022). The Unit Teissier Distribution and Its Applications. Math. Comput. Appl.; 27, 12. Doi: https://doi.org/10.3390/mca27010012
Kumaraswamy, P. (1980). "A generalized probability density function for double-bounded random processes". Journal of Hydrology. 46 (1–2): 79–88. doi: https://doi.org/10.1016/0022-1694(80)90036-0
Laurent A. (1975). Failure and mortality from wear and aging. The Teissier model, in Statistical Distributions in Scientific Work, Model Building and Model Selection. Reidel Publishing Company, Dordrecht, Holland; Vol. 2301–320.
Mohammed A. S., Yakong V.N. , Twumasi E., Apuswin A. R., Ameyaw C., Atuga A. A., & Cudjoe F. K. (2023). Exploring the Factors Influencing Home Delivery: A Cross Sectional Study among Rural Residents in Tamale Metropolis. Asian Journal of Medicine and Health; 21 (4); 1-14
Muth E.J. (1977). Reliability models with positive memory derived from the mean residual life function. The Theory and Applications of Reliability, 2, pp. 401–435.
Osatohanmwen P., Oyegue F.O., Ewere F., & Ajibade B. (2020): A New Family of Generalized Distributions on the Unit Interval: The T-Kumaraswamy Family of Distributions. Journal of Data Science; 18(2). P. 218 – 237, DOI: https://doi.org/10.6339/JDS.202004_18(2).0001
Poonia, N, & Azad, S (2022) Alpha power exponentiated Teissier distribution with application to climate datasets. Theor Appl Climatol, 1–15. Doi: https://doi.org/10.1007/s00704-022-04039-y
Pupe S., Ampai T., Sirinapa A., & Winai B. (2022): The Generalized Distributions on the Unit Interval based on the T-Topp-Leone Family of Distributions. Trends in Sciences. 19(19): 6186. DOI: https://doi.org/10.48048/tis.2022.6186
Sharma V. K., Singh S. V., & Shekhawat K. (2020). Exponentiated Teissier distribution with increasing, decreasing and bathtub hazard functions. Journal of Applied Statistics DOI: https://doi.org/10.1080/02664763.2020.1813694
Sirinapa A., & Winai B. (2024): A generating family of unit-Garima distribution:Properties, likelihood inference, and application. Pakistan Journal of Statistics and Operation Research. 20 (1) 69-84 DOI: http://dx.doi.org/10.18187/pjsor.v20i1.4307
Teissier G. (1934). Recherches sur le vieillissement et sur les lois de mortalite. Ann. Physiol. Phys. Chim. Biol.; 10, pp. 237–284.
Torabi H., & Montazeri N. H. (2014). The Logistic-Uniform Distributionand Its Applications, Communications in Statistics - Simulation and Computation; 43(10), 2551-2569, https://doi.org/10.1080/03610918.2012.73749.
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