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• Aarset, M. V. (1987). How to identify a bathtub hazard rate. IEEE Transactions on Reliability, 36(1), 106-108.
• Abdul-Sathar, E., Renjini, K., Rajesh, G., & Jeevanand, E. (2015). Bayes estimation of Lorenz curve and Gini-index for power function distribution. South African Statistical Journal, 49(1), 21-33.
• Afify, A. Z., Nofal, Z. M., Yousof, H. M., El Gebaly, Y. M., & Butt, N. S. (2015). The Transmuted Weibull Lomax Distribution: Properties and Application. Pakistan Journal of Statistics and Operation Research, 11(1), 135-152.
• Ahsanullah, M. (1973). A characterization of the power function distribution. Communications in Statistics-Theory and Methods, 2(3), 259-262.
• Ahsanullah, M., & Kabir, A. L. (1974). A characterization of the power function distribution. The Canadian Journal of Statistics/La Revue Canadienne de Statistique, 95-98.
• Al-Zahrani, B., & Sagor, H. (2014). The poisson-lomax distribution. Revista Colombiana de Estadística, 37, 225-245.
• Aryal, G. R. (2013). Transmuted log-logistic distribution. Journal of Statistics Applications & Probability, 2(1), 11-20.
• Balakrishnan, N., & Nevzorov, V. B. (2004). A primer on statistical distributions: John Wiley & Sons.
• Cordeiro, G. M., & dos Santos Brito, R. (2012). The beta power distribution. Brazilian journal of probability and statistics, 26(1), 88-112.
• Cordeiro, G. M., Ortega, E. M., & da Cunha, D. C. (2013). The exponentiated generalized class of distributions. Journal of Data Science, 11(1), 1-27.
• Dallas, A. (1976). Characterizing the Pareto and power distributions. Annals of the Institute of Statistical Mathematics, 28(1), 491-497.
• Forbes, C., Evans, M., Hastings, N., & Peacock, B. (2011). Statistical distributions: John Wiley & Sons.
• Gui, W., Zhang, S., & Lu, X. (2014). The Lindley-Poisson distribution in lifetime analysis and its properties. Hacettepe Journal of Mathematics and Statistics, 43(6), 1063-1077.
• Hassan A. S., Abd-Elfattah, A.M. and Mokhtar A. H (2015). The Complementary Burr III Poisson Distribution. Australian Journal of Basic and Applied Sciences. 9(11), 219-228.
• Haq, M. A., Usman, R. M., & Fateh, A. A. (2015). A Study on Kumaraswamy Power Function Distribution. Submitted.
• Johnson, N. L., Kotz, S., & Balakrishnan, N. (1994).
• Continuous univariate distributions, vol. 1-2: New York: John Wiley & Sons.
• Kleiber, C., & Kotz, S. (2003). Statistical size distributions in economics and actuarial sciences (Vol. 470): John Wiley & Sons.
• Meniconi, M., & Barry, D. (1996). The power function distribution: A useful and simple distribution to assess electrical component reliability. Microelectronics Reliability, 36(9), 1207-1212.
• Merovci, F. (2013a). Transmuted lindley distribution. International Journal of Open Problems in Computer Science & Mathematics, 6.
• Merovci, F. (2013b). Transmuted rayleigh distribution. Austrian Journal of Statistics, 42(1), 21-31.
• Murthy, D., Xie, M., & Jiang, R. (2004). Weibull models (Vol. 505): John Wiley and Sons.
• Naveed-Shahzad, M., Asghar, Z., Shehzad, F., & Shahzadi, M. (2015). Parameter Estimation of Power Function Distribution with TL-moments. Revista Colombiana de Estadística, 38(2), 321-334.
• Oguntunde, P., Odetunmibi, O., Okagbue, H., Babatunde, O., & Ugwoke, P. (2015). The Kumaraswamy-Power Distribution: A Generalization of the Power Distribution. International Journal of Mathematical Analysis, 9(13), 637-645.
• Ramos, M. W. A., Percontini, A., Cordeiro, G. M., & da Silva, R. V. (2015). The Burr XII Negative Binomial Distribution with Applications to Lifetime Data. International Journal of Statistics and Probability, 4(1), p109.
• Shaw, W. T., & Buckley, I. R. (2007). The alchemy of probability distributions: Beyond gram-charlier & cornish-fisher expansions, and skew-normal or kurtotic-normal distributions. Submitted, Feb, 7, 64.
• Sinha, S. K., Singh, P., Singh, D., & Singh, R. (2008). Preliminary test estimators for the scale parameter of power function distribution. Journal of Reliability and Statistical Studies, 1(1), 18-24.
• Smith, R. L., & Naylor, J. (1987). A comparison of maximum likelihood and Bayesian estimators for the three-parameter Weibull distribution. Applied Statistics, 358-369.
• Sultan, R., Sultan, H., & Ahmad, S. (2014). Bayesian Analysis of Power Function Distribution under Double Priors. Journal of Statistics Applications and Probability, 3(2), 239-249.
• Tahir, M., Alizadeh, M., Mansoor, M., Cordeiro, G. M., & Zubair, M. (2014). The weibull-power function distribution with applications. Hacettepe university bulletin of natural sciences and engineering series b: mathematics and statistics. doi: DOI: 10.15672/HJMS.2014428212
• Zaka, A., & Akhter, A. S. (2014a). Bayesian Analysis of Power Function Distribution Using Different Loss Functions. International Journal of Hybrid Information Technology, 7(6), 229-244.
• Zaka, A., & Akhter, A. S. (2014b). Modified Moment, Maximum Likelihood and Percentile Estimators for the Parameters of the Power Function Distribution. Pakistan Journal of Statistics and Operation Research, 10(4), 369-388.
• Zaka, A., Feroze, N., & Akhter, A. S. (2013). A note on Modified Estimators for the Parameters of the Power Function Distribution. International Journal of Advanced Science and Technology, 59, 71-84.