Life Distributions: Structure of Nonparametric, Semiparametric, and Parametric Families

By A. W. Marshall, Ingram Olkin. 2007

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On extropy properties of ranked set sampling (2018, methodology): “to Barlow and Proschan [21] and Marshall and Olkin [22] for their definitions, properties and applications.”
Tweedie’s Formula and Selection Bias (2011, background): “It is worth noting that if f (z) is log concave, that is, l′′(z) ≤ 0, then var(η|z) is less than σ 2; log concavity of g(μ) in (1.2) would guarantee log concavity of f (z) (Marshall and Olkin 2007).”
Odd-Burr generalized family of distributions with some applications (2017, methodology): “G) by Marshall and Olkin,[1] beta-G by Eugene et al.,[2] Kumaraswamy-G (Kw-G) by Cordeiro and de Castro,[3] McDonald-G (Mc-G) by Alexander et al.,[4] transformer (T-X) by Alzaghal et al.,[5] Weibull-G by Bourguignon et al.,[6] exponentiated half-logistic by Cordeiro et al.,[6] Logistic-X by Tahir et”
Topp–Leone generated family of distributions: Properties and applications (2017, methodology): “Structural properties of several exponentiated-G distributions have been studied by many authors: see Marshall and Olkin (2007) for an excellent account.”
General results for the Marshall and Olkin's family of distributions (2013, unknown): “The M-O family of distributions is also known as the proportional odds family (proportional odds model) or family with tilt parameter (Marshall and Olkin 2007).”