Normal distribution with plasticizing component
Piotr Sulewski
Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 11, 3806-3835
Abstract:
In this article, we introduce a new flexible plasticizing component and mixture of two distributions, further called the normal distribution with the plasticizing component. Some properties of the introduced distributions are derived, such as the cumulative distribution and the probability density function, moments, skewness and kurtosis. The unknown parameters are estimated by the maximum likelihood method. Illustrative examples of applicability and flexibility of the introduced distributions are given. We compare the flexibility of the introduced distribution and various distributions using skewness and kurtosis.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2020.1837881 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:51:y:2022:i:11:p:3806-3835
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2020.1837881
Access Statistics for this article
Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe
More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().