Handbook of the Logistic Distribution

By J. Glosup. 1993

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Semi-analytical approximations to statistical moments of sigmoid and softmax mappings of normal variables (2017, background): “Let us recall that the cumulative density function of the logistic distribution is simply a sigmoid mapping (Balakrishnan, 2013): 2 2 1 1 exp 3 E z t P z x x t V z”
A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation (2021, methodology): “Given π lk in the forward pass, z lk is now sampled from where τ is the temperature controlling the smoothness of concerte distribution, and (cid:15) ∼ Logistic (0 , 1) is randomly sampled from a logistic distribution (Balakrishnan 1991).”
Bayesian and classical inference of reliability in multicomponent stress-strength under the generalized logistic model (2020, background): “The GL distribution has received additional attention in estimating its parameters for practical usage (see, for example, Balakrishnan 1991).”
The Generalized Birnbaum–Saunders Distribution and Its Theory, Methodology, and Application (2008, methodology): “aThe moments of the logistic distribution have been taken from Balakrishnan (1992).”