A Primer on Statistical Distributions

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Zero-Shot Knowledge Distillation in Deep Networks (2019, background): “As their values increase (when ] ), the density becomes more concentrated on the center of the simplex (Balakrishnan & Nevzorov, 2004; Lin, 2016).”
Bayesian Artificial Intelligence (2004, methodology): “One introduction to parametric distributions is that of Balakrishnan and Nevzorov [14].”
Analysing continuous proportions in ecology and evolution: A practical introduction to beta and Dirichlet regression (2019, background): “Beta regression begins with the assumption that the data‐generating process can reasonably be modelled by a beta probability distribution (Balakrishnan & Nevzorov, 2003).”
On the discrete analogues of continuous distributions (2012, background): “A large number of discrete distributions can be found in [10,3,5].”
Univariate Distribution Relationships (2008, background): “…two-sample distribution (Boomsma and Molenaar 1994); the generalized lambda distribution (Ramberg and Schmeiser 1974); the Maxwell distribution (Balakrishnan and Nevzorov 2003, p. 232); Pearson systems (Johnson, Kotz, and Balakrishnan 1994, pp. 15–63); the generalized Waring distribution…”
An analytical solution in probabilistic rock slope stability assessment based on random fields (2014, unknown): “The variable z as a function of pf max can be found in numerous textbooks in table form [27]; graphically is shown in Fig.”