Version 1
: Received: 31 May 2022 / Approved: 1 June 2022 / Online: 1 June 2022 (09:43:10 CEST)
How to cite:
Turchyn, I. Skew Counterparts of the Generalized Double Lomax Distribution: Properties and Applications. Preprints2022, 2022060009. https://doi.org/10.20944/preprints202206.0009.v1
Turchyn, I. Skew Counterparts of the Generalized Double Lomax Distribution: Properties and Applications. Preprints 2022, 2022060009. https://doi.org/10.20944/preprints202206.0009.v1
Turchyn, I. Skew Counterparts of the Generalized Double Lomax Distribution: Properties and Applications. Preprints2022, 2022060009. https://doi.org/10.20944/preprints202206.0009.v1
APA Style
Turchyn, I. (2022). Skew Counterparts of the Generalized Double Lomax Distribution: Properties and Applications. Preprints. https://doi.org/10.20944/preprints202206.0009.v1
Chicago/Turabian Style
Turchyn, I. 2022 "Skew Counterparts of the Generalized Double Lomax Distribution: Properties and Applications" Preprints. https://doi.org/10.20944/preprints202206.0009.v1
Abstract
Two extensions of the generalized double Lomax distribution are introduced - the spliced-scale generalized double Lomax distribution and the exponentiated generalized double Lomax distribution. Their properties are studied. Usefulness of the new distributions is shown by fitting them to stock returns datasets.
Keywords
Generalized double Lomax distribution; exponentiated distribution; maximum likelihood; moment; entropy
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.