Book:
Springer Proceedings in Mathematics & Statistics
(New Trends in the Applications of Differential Equations in Sciences)
Volume 449
(2024),
p. 347
Data-driven identification of household-transformer relationships in power distribution networks using Hausdorff similarity assessment
The purpose of this paper is to explore two probability distributions originating from the Kies distribution defined on an arbitrary domain. The first one describes the minimum of several Kies random variables whereas the second one is for their maximum – they are named min- and max-Kies, respectively. The properties of the min-Kies distribution are studied in details, and later some duality arguments are used to examine the max variant. Also the saturations in the Hausdorff sense are investigated. Some numerical experiments are provided.