Article
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Twisted Wang Transform Distribution
Version 1
: Received: 30 June 2022 / Approved: 4 July 2022 / Online: 4 July 2022 (05:08:29 CEST)
How to cite: Wang, F. Twisted Wang Transform Distribution. Preprints 2022, 2022070032. https://doi.org/10.20944/preprints202207.0032.v1 Wang, F. Twisted Wang Transform Distribution. Preprints 2022, 2022070032. https://doi.org/10.20944/preprints202207.0032.v1
Abstract
The twisted Wang transform distribution family, defined as the composition of parameter shifted inverse CDF function with an original CDF function, is found to be most suitable for matching low shape factor distributions, characterizing hard to fit or to simulate reinsurance portfolio losses for some perils from our previous study. Among them, the best form for matching a hard-to-fit empirical loss distribution for a specific peril, is the Exponential Fractional Extra Power 0 Distribution in (0,1) with CDF:.The simplest yet still a good form of this family is the Transformed Hyperbolic Tangent Distribution with CDF:,which has analytical formulas for the moments. The twisted Wang transform distribution family is compared and confirmed to be superior to all other well-known distribution families through extensive numerical optimization practice, distribution forms guesses, and computer-aided exploration experiments.
Supplementary and Associated Material
https://notebookarchive.org/twisted-wang-transform-distribution--2022-02-46daciv/: Mathematica notebook
Keywords
twisted Wang transform; shape factor; EP curve; reinsurance; numerical optimization
Subject
Computer Science and Mathematics, Probability and Statistics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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