Aldahlan, M. and Afify, A.Z. (2018). The odd exponentiated half-logistic Burr XII distribution. Pakistan Journal of Statistics and Operation Research, 14(2):317–329.
Andrews, D.F. and Herzberg, A.M. (1985). Data: A Collection of Problems from Many Fields for the Student and Research Worker. New York: Springer Series in Statistics.
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 Proceedings of Canadian Conference in Applied Statistics, New York: Marcel Dekker.
Balakrishnan, N., Leiva, V., Sanhueza, A. and Cabrera, E. (2009). Mixture inverse Gaussian distributions and its transformations, moments and applications. Statistics, 43(1):91–104.
Bagdonavicius, V. and Nikulin, M. (2001). Accelerated Life Models: Modeling and Statistical Analysis. Chapman and Hall/CRC.
Bebbington, M., Lai, C. and Zitikis, R. (2007). A flexible Weibull extension. Reliability Engineering and System Safety, 92(6):719–726.
Bourguignon, M., Silva, R. and Cordeiro, G. (2014). The Weibull-G family of probability distributions. Journal of Data Science, 12(1):53–68.
Chambers, J., Cleveland, W., Kleiner, B. and Tukey, J. (1983). Graphical Methods for Data Analysis. London: Chapman and Hall.
Chen, G. and Balakrishnan, N. (1995). A general purpose approximate goodness-of-fit test. Journal of Quality Technology, 27(2):154–161.
Chhikara, R.S. and Folks, J.L. (1989). The Inverse Gaussian Distribution. New York: Marcel Dekker.
Cordeiro, G.M., Ortega, E. and Cunha, D. (2013). The exponentiated generalized class of distributions. Journal of Data Science, 11(11):1–27.
Cordeiro, G.M., Ortega, E.M. and Ramires, T.G. (2015). A new generalized Weibull family of distributions: Mathematical properties and applications. Journal of Statistical Distributions and Applications, 2(1):1–25.
Elbatal, I. (2011). Exponentiated modified Weibull distribution. Economic Quality Control, 26:189–200.
Famoye, F., Lee, C. and Olumolade, O. (2005). The beta-Weibull distribution. Journal of Statistical Theory and Applications, 4(2):121–138.
Gradshteyn, I.S. and Ryzhik, I.M. (2000). Table of Integrals, Series and Products. San Diego: Academic Press.
Greenwood, J.A., Landwehr, J.M., Matalas, N.C. and Wallis, J.R. (1979). Probability weighted moments: Definition and relation to parameters of several distributions expressible in inverse form. Water Resources Research, 15(5):1049–1054.
Hamedani, G.G., Rasekhi, M., Najibi, S., Yousof, H.M. and Alizadeh, M. (2019). Type II general exponential class of distributions. Pakistan Journal of Statistics and Operation Research, 15(2):503–523.
Marshall, A.W. and Olkin, I. (1997). A new method for adding a parameter to a family of distributions with applications to the exponential and Weibull families. Biometrika, 84(3):641–652.
Nadarajah, S., Cordeiro, G.M. and Ortega, E.M.M. (2011). General results for the beta-modified Weibull distribution. Journal of Statistical Computation and Simulation, 81(10):1211–1232.
Nadarajah, S. and Kotz, S. (2005). On some recent modifications of Weibull distribution. IEEE Transactions on Reliability, 54(4):561–562.
Nikulin, N. and Haghighi, F. (2009). On the power generalized Weibull family: Model for cancer censored data. Metron, 67(1):75–86.
Oluyede, B.O., Huang, S. and Yang, T. (2015). A new class of generalized modified Weibull distributions with applications. Austrian Journal of Statistics, 44(3):45–68.
Oluyede, B., Foya, S., Warahena-Liyanage, G. and Huang, S. (2016). The log-logistic Weibull distribution with applications to lifetime data. Austrian Journal of Statistics, 45(3):43–69.
Oluyede, B., Moakofi, T., Chipepa, F. and Makubate, B. (2021). The odd power generalized Weibull-G family of distributions: Properties and applications. Journal of Statistical Modelling: Theory and Applications, 2(1):121–142.
Oluyede, B., Pu, S., Makubate, B. and Qiu, Y. (2018). The gamma-Weibull-G family of distributions with applications. Austrian Journal of Statistics, 47(1):45–76.
Phani, K.K. (1987). A new modified Weibull distribution function. Communications of the American Ceramic Society, 70(8):182–184.
Rényi, A. (1960). On measures of entropy and information. Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, 1:547–561.
Ristić, M.M. and Balakrishnan, N. (2011). The gamma-exponentiated exponential distribution. Journal of Statistical Computation and Simulation, 82(8):1191–1206.
Sarhan, A.M. and Zaindin, M. (2009). Modified Weibull distribution. Applied Sciences, 11:123–136.
Shaked, M. and Shanthikumar, J.G. (2007). Stochastic Orders. New York: Springer.
Silva, G., Ortega, E. and Cordeiro, G. (2010). The Beta modified Weibull distribution. Lifetime Data Analysis, 16(3):409–430.
Xie, M. and Lai, C. (1996). Reliability analysis using an additive Weibull model with bathtub-shaped failure rate function. Reliability Engineering and System Safety, 52(1):87–93.
Xie, M., Tang, Y. and Goh, T. (2002). A modified Weibull extension with bathtub failure rate function. Reliability Engineering and System Safety, 76(3):279–285.
Zhang, T. and Xie, M. (2011). On the upper truncated Weibull distribution and its reliability implications. Reliability Engineering and System Safety, 96(1):194–200.
Zografos, K. and Balakrishnan, N. (2009). On families of Beta and generalized gamma-generated distribution and associated inference. Statistical Methodology, 6(4):344–362.