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• Mudholkar, G.S., Srivastava, D.K., “Exponentiated Weibull family for analyzing bathtub failure rate data”, IEEE Transactions on Reliability, 42: 299-302, (1993).
• Mudholkar, G.S., Srivastava, D.K., Kollia, G.D., “A generalization of the Weibull distribution with application to the analysis of survival data”, Journal of the American Statistical Association, 91: 1575- 1583, (1996).
• Xie, M., Tang, Y., Goh T.N., “A modified Weibull extension with bathtub-shaped failure rate function”, Reliability Engineering System Safety, 76: 279–85, (2002).
• Carrasco, M., Ortega, E.M., Cordeiro, G.M., “A generalized modified Weibull distribution for lifetime modeling”, Computational Statistics and Data Analysis, 53:450–62, (2008).
• Eugene, N., Lee, C., Famoye, F., “Beta-normal distribution and its applications”, Communication in Statistics-Theory and Methods, 31: 497–512, (2002).
• Jones, M.C., “Families of distributions arising from the distributions of order statistics”,Test, 13: 1- 43, (2004).
• Zografos, K., Balakrishnan, N., “On families of beta- and generalized gamma-generated distributions and associated inference”, Statistical Methodology, 6: 344–362, (2009).
• Cordeiro, G.M., de Castro, M., “A new family of generalized distributions”, Journal of Statistical Computation and Simulation, 81: 883-893, (2011).
• Alexander, C., Cordeiro, G.M., Ortega, E.M.M., Sarabia, J.M., “Generalized beta distributions”, Computational Statistics and Data Analysis, 56:1880–1897, (2012).
• Risti´c, M.M., Balakrishnan, N., “The gamma-exponentiated exponential distribution”, Journal of Statistical Computation and Simulation, 82:1191–1206, (2012).
• Alzaatreh, A., Lee, C., Famoye, F., “A new method for generating families of continuous distributions”, Metron, 71: 63-79 ,(2013).
• Bourguignon, M., Silva, R.B., Cordeiro, G.M., “The Weibull–G family of probability distributions”, Journal of Data Science, 12: 53-68, (2014).
• Alizadeh, M., Emadi, M., Doostparast, M., Cordeiro, G.M., Ortega, E.M.M., Pescim, R.R., “Kumaraswamy odd log-logistic family of distributions: Properties and applications”,Hacettepe University Bulletin of Natural Sciences and Engineering Series B: Mathematics and Statistics (2015), available at doi: 10.15672/HJMS.2014418153.
• Elgarhy, M., Hassan, A.S., Rashed, M., “Garhy- generated family of distributions with application”, Mathematical Theory and Modeling, 6:1-15, (2016).
• Hassan, A.S., Elgarhy, M., “A new family of exponentiated Weibull-generated distributions”, International Journal of Mathematics and its Applications, 4: 135-148, (2016).
• Hassan, A.S., Elgarhy., M, “Kumaraswamy Weibull-generated family of distributions with applications”, Advances and Applications in Statistics, 48: 205-239, (2016).
• Hassan, A.S., Hemeda, S.E., “The additive Weibull-g family of probability distributions”, International Journals of Mathematics and its Applications, 4: 151-164, (2016).
• Elgarhy., M., Haq, M.A., Ozel, G., Nasir, M.A., “A new exponentiated extended family of distributions with applications”, Gazi University Journal of Science, 30: 101-115, (2017).
• Hassan, A.S., Hemeda, S.E., Maiti, S.S., Pramanik, S., “The generalized additive Weibull-G family of probability distributions”, International Journal of Statistics and Probability, 6(5): 65-83, (2017).
• Hassan, A.S., Elgarhy, M., Shakil, M., “Type II half logistic family of distributions with applications”, Pakistan Journal of Statistics and Operation Research, 13(2): 245-264, (2017).
• Haq, M.A., Elgarhy, M., “The odd Frѐchet-G family of probability distributions”, Journal of Statistics Applications and Probability, 7: 185-201, (2018).
• Hassan, A.S., Nassr, S.G., “Power Lindley- G family”, Annals of Data Science, 6(2):189–210, (2019).
• Weibull, W., “A statistical distribution function of wide applicability”, Journal of Applied Mechanics, 18: 293–297, (1951).
• Elgarhy, M., Shakil, M., Kibria, B.M., “Exponentiated Weibull-exponential distribution with applications”, Applications and Applied Mathematics: An International Journal, 12: 710-725, (2017).
• Abouelmagd, T.H.M., Al-mualim, S. Elgarhy, M., Afify, A.Z., Ahmad, M., “Properties of the fourparameter Weibull distribution and its applications”, Pakistan Journal of Statistics, 33(6): 449-466, (2017).
• Oguntunde, P.E., Balogun, O.S, Okagbue, H.I., Bishop, S.A., “The Weibull-exponential distribution: its properties and applications”, Journal of Applied Sciences, 15:1305-1311, (2015).
• Merovci, F., Elbatal, I., “Weibull Rayleigh distribution: theory and applications”, Applied Mathematics and Information Sciences, 5: 1-11, (2015).
• Gupta, R.C., “On characterization of distributions by conditional expectations”, Communications in Statistics- Theory and Methods, 4: 99-103, (1975).
• Zoroa, P., Ruiz, J.M., Marin, J., “A characterization based on conditional expectations”, Communications in Statistics-Theory and Methods, 19: 3127-3135, (1990).
• Navarro, J., Franco, M., Ruiz, J.M., “Characterization through moments of the residual life and conditional spacing”, Sankhya: The Indian Journal of Statistics, Series A, 60: 36-48, (1998).
• Zenga, M., “Inequality curve and inequality index based on the ratios between lower and upper arithmetic means”, Statistica e Applicazioni 4: 3–27, (2007).
• Greenwood, J.A., Landwehr, J.M., Matalas, N.C, “Probability weighted moments: definitions and relations of parameters of several distributions expressible in inverse form”, Water Resources Research, 15: 1049-1054, (1979).
• Bjerkedal, T., “Acquisition of resistance in guinea pigs infected with different doses of virulent tubercle bacilli”, American Journal of Epidemiology, 72(1): 130-148, (1960).
• Hinkley, D., “On quick choice of power transformations”, Journal of the Royal Statistical Society, Series (c), Applied Statistics, 26:67–69, (1977).