Afify, A.Z., Altun, E., Alizadeh, M., Ozel, G. and Hamedani, G.G. (2017). The odd exponentiated half-logistic-G family: Properties, characterizations and applications. Chilean Journal of Statistics, 8(2), 65–91.
Ahmad, Z., Elgarhy, M. and Hamedani, G.G. (2018). A new Weibull-X family of distributions: Properties, characterizations and applications. Journal of Statistical Distributions and Applications, 5(5). doi:10.1186/s40488-018-0087-6.
Aldahlan, M.A., Afify, A.Z. and Ahmed, A.N. (2019). The odd inverse Pareto-G class: Properties and applications. Journal of Non-Linear Sciences and Applications, 12, 278–290.
Alizadeh, M., Tahmasebi, S. and Haghbin, H. (2018). The exponentiated odd log-logistic family of distributions: Properties and applications. Journal of Statistical Modeling: Theory and Applications, 1(2), 1–24.
Alzaghal, A., Famoye, F. and Lee, C. (2013). Exponentiated T-X family of distributions with some applications. International Journal of Probability and Statistics, 2(3), 31–49.
Barlow, R.E., Toland, R.H. and Freeman, T. (1984). A Bayesian analysis of stress-rupture life of Kevlar 49/epoxy spherical pressure vessels. In Proc. Conference on Applications of Statistics, Marcel Dekker, New York.
Bekker, A., Roux, J.J.J. and Mosteit, P.J. (2000). A generalization of the compound Rayleigh distribution: using a Bayesian method on cancer survival times. Communications in Statistics-Theory and Methods, 29(7), 1419–1433.
Bourguignon, M., Silva, R.B. and Cordeiro, G.M. (2014). The Weibull-G family of probability distributions. Journal of Data Science, 12, 53–68.
Cordeiro, G.M., Afify, A.Z., Ortega, E.M.M., Suzuki, A.K. and Mead, M.E. (2019). The odd Lomax generator of distributions: Properties, estimation and applications. Journal of Computational and Applied Mathematics, 347, 222–237.
Cordeiro, G.M., Afify, A.Z., Yousof, H.M., Pescim, R.R. and Arya, G.R. (2017). The exponentiated Weibull-H family of distributions: Theory and applications. Mediterranean Journal of Mathematics, 14. doi:10.1007/s00009-017-0955-1.
Chambers, J., Cleveland, W., Kleiner, B. and Tukey, J. (1983). Graphical Methods for Data Analysis. Chapman and Hall, London.
Chen, G. and Balakrishnan, N. (1995). A general purpose approximate goodness-of-fit test. Journal of Quality Technology, 27, 154–161.
Efron, B. (1988). Logistic regression, survival analysis, and the Kaplan-Meier curve. Journal of the American Statistical Association, 83, 414–425.
Korkmaz, M.C., Alizadeh, M., Yousof, H.M. and Butt, N.S. (2018). The generalized odd Weibull generated family of distributions: Statistical properties and applications. Pakistan Journal of Statistics and Operation Research, XIV, 541–556.
Kumar, D. and Dey, S. (2017). Power generalized Weibull distribution based on order statistics. Journal of Statistical Research, 51, 61–78.
Kumar, D. and Jain, N. (2018). Power generalized Weibull distribution based on generalised order statistics. Journal of Data Science, 16, 621–646.
Lai, C.D. (2013). Constructions and applications of lifetime distributions. Applied Stochastic Models in Business and Industry, 29, 127–140.
Lima, S.R. and Cordeiro, G.M. (2017). The extended log-logistic distribution: Properties and application. Anais da Academia Brasileira de Ciências, 89, 3–17.
Nassar, M., Kumar, D., Dey, S., Cordeiro, G.M. and Afify, A.Z. (2019). The Marshall-Olkin alpha power family of distributions with applications. Journal of Computational and Applied Mathematics, 351, 41–53.
Nikulin, M. and Haghighi, F. (2009). On the power generalized Weibull family: Model for cancer censored data. Metron-International Journal of Statistics, LXVII, 75–86.
Oguntunde, P.E., Balogun, O.S., Okagbue, H.I. and Bishop, S.A. (2015). The Weibull-exponential distribution: Its properties and applications. Journal of Applied Sciences, 15, 1305–1311.
Oluyede, B.O., Moakofi, T., Chipepa, F. and Makubate, B. (2020). A new power generalized Weibull-G family of distributions: Properties and applications. Journal of Statistical Modelling: Theory and Applications, 1, 167–191.
R Development Core Team (2011). A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
Rényi, A. (1960). On measures of entropy and information. Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, 4, 547–561.
Reyad, H., Alizadeh, M., Jamal, F. and Othman, S. (2018). The Topp Leone odd Lindley-G family of distributions: Properties and applications. Journal of Statistics and Management Systems, 21, 1273–1297.
Reyad, H., Selim, M.A. and Othman, S. (2019). The Nadarajah Haghighi Topp Leone-G family of distributions with mathematical properties and application. Pakistan Journal of Statistics and Operation Research, XV, 849–866.
Rosaiah, K., Kantam, R.R.L. and Kumar, S. (2007). Exponentiated log-logistic distribution-An economic reliability test plan. Pakistan Journal of Statistics, 23, 165–175.
Sangsanit, Y. and Bodhisuwan, W. (2016). The Topp-Leone generator of distributions: Properties and inferences. Songklanakarin Journal of Science & Technology, 38, 537–548.
Santos Silva, J.M.C. and Tenreyro, S. (2010). On the existence of maximum likelihood estimates in Poisson regression. Economics Letters, 107, 310–312.
Seregin, A. (2010). Uniqueness of the maximum likelihood estimator for k-monotone densities. Proceedings of the American Mathematical Society, 138(12), 4511–4515.
Sobhi, A.L. and Mashail, M. (2020). The inverse-power logistic-exponential distribution: Properties, estimation methods, and application to insurance data. Mathematics, 8(11), 2060.
Voinov, V., Pya, N., Shapakov, N. and Voinov, Y. (2013). Goodness-of-Fit tests for the power-generalized Weibull probability distribution. Communications in Statistics-Simulation and Computation, 42, 1003–1012.
Wenhao, G. (2013). Marshall-Olkin extended log-logistic distribution and its application in minimization processes. Applied Mathematical Sciences, 7(80), 3947–3961.
Xia, J., Mi, J. and Zhou, Y.Y. (2009). On the existence and uniqueness of the maximum likelihood estimators of normal and log-normal population parameters with grouped data. Journal of Probability and Statistics, Article ID 310575, 16.
Zhou, C. (2009). Existence and consistency of the maximum likelihood estimator for the extreme index. Journal of Multivariate Analysis, 100, 794–815.