Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Skew Counterparts of the Generalized Double Lomax Distribution: Properties and Applications

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. Preprints 2022, 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

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

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