On the Marshall–Olkin extended Weibull distribution

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The Kumaraswamy Marshal-Olkin family of distributions (2015, methodology): “Then, the pdf of KwMO-W distribution becomes fKwMOWðxÞ ¼ abkbxb 1 e k x b ð1 pÞ 1 e k xb n oa 1 1 pe k xb aþ1 1 1 e k xb 1 pe k xb " #a( )b 1 : For b ¼ 2, we obtain as special case the KwMO-Rayleigh (KwMO-R) distribution.”
Recent Developments in Distribution Theory: A Brief Survey and Some New Generalized Classes of distributions (2019, unknown): “a F x a a x x a g f x F x F x        −   −       −    = (31)”
The Weibull Marshall–Olkin family: Regression model and application to censored data (2018, background): “See, for example, Ghitany, Al-Awadhi, and Alkhalfan (2007), Garc ıa, G omez-D eniz, and V azquez-Polo (2010), Cordeiro and Lemonte (2013), Santos-Neto et al. (2014) and”
Marshall-Olkin Extended Burr Type XII Distribution (2014, methodology): “These include Marshall-Olkin extended Weibull which can be obtained as a compound distribution with mixing exponential distribution (Ghitany et al., 2005), Marshall-Olkin extended Pareto (Ghitany, 2005), Marshall-Olkin extended gamma (Ristic et al., 2007), Marshall-Olkin extended Lomax using censore”