A generalization of the Balakrishnan skew-normal distribution
The skew-normal distribution belongs to a family of distributions which includes the normal distribution along with an extra parameter to regulate skewness. Azzalini [Azzalini A., 1985. A class of distributions which includes the normal ones. Scandinavian Journal of Statistics 12, 171-178] was the first to introduce the skew-normal distribution and studied some of its properties. Balakrishnan [Balakrishnan, N., 2002. Discussion of "skewed multivariate models related to hidden truncation and/or selective reporting". Test 11, 37-39], as a discussant of Arnold and Beaver [Arnold, B.C., Beaver, R.J., 2002. Skewed multivariate models related to hidden truncation and/or selective reporting (with discussion). Test II, 7-54], later proposed a generalization of this distribution. In this paper, we introduce a new generalization of the Balakrishnan skew-normal distribution by explaining some important properties of this distribution. Also, we have described three methods for constructing this distribution. Finally, its multivariate extension has been presented.
Year of publication: |
2008
|
---|---|
Authors: | Yadegari, Iraj ; Gerami, Abbas ; Khaledi, Majid Jafari |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 78.2008, 10, p. 1165-1167
|
Publisher: |
Elsevier |
Saved in:
Saved in favorites
Similar items by person
-
Dodge, Yadolah, (2010)
-
Afroughi, Solaiman, (2011)
-
Spatio-temporal modeling and prediction of CO concentrations in Tehran city
Rivaz, Firoozeh, (2011)
- More ...