Treffer: Flexible Class of Skew‐Symmetric Distributions: Flexible class of skew-symmetric distributions
Title:
Flexible Class of Skew‐Symmetric Distributions: Flexible class of skew-symmetric distributions
Authors:
Source:
Scandinavian Journal of Statistics. 31:459-468
Publisher Information:
Wiley, 2004.
Publication Year:
2004
Subject Terms:
skewness, Probability distributions: general theory, 0101 mathematics, Multivariate distribution of statistics, Characterization and structure theory for multivariate probability distributions, copulas, 01 natural sciences, Asymptotic properties of parametric estimators, skew-normal, generalized skew-elliptical distribution
Document Type:
Fachzeitschrift
Article
File Description:
application/xml
Language:
English
ISSN:
1467-9469
0303-6898
0303-6898
DOI:
10.1111/j.1467-9469.2004.03_007.x
Access URL:
https://repository.lib.ncsu.edu/bitstream/1840.4/207/1/semiparamskewell.pdf
https://onlinelibrary.wiley.com/doi/10.1111/j.1467-9469.2004.03_007.x/references
https://repository.lib.ncsu.edu/handle/1840.4/207
https://ideas.repec.org/a/bla/scjsta/v31y2004i3p459-468.html
https://stsda.kaust.edu.sa/Documents/2004.MG.SJS.pdf
http://people.stat.sc.edu/yanyuanma/papers/mg04.pdf
https://EconPapers.repec.org/RePEc:bla:scjsta:v:31:y:2004:i:3:p:459-468
https://onlinelibrary.wiley.com/doi/10.1111/j.1467-9469.2004.03_007.x/references
https://repository.lib.ncsu.edu/handle/1840.4/207
https://ideas.repec.org/a/bla/scjsta/v31y2004i3p459-468.html
https://stsda.kaust.edu.sa/Documents/2004.MG.SJS.pdf
http://people.stat.sc.edu/yanyuanma/papers/mg04.pdf
https://EconPapers.repec.org/RePEc:bla:scjsta:v:31:y:2004:i:3:p:459-468
Rights:
Wiley Online Library User Agreement
Accession Number:
edsair.doi.dedup.....36e896d6fb620b45aaefb93fcb3271a7
Database:
OpenAIRE
Weitere Informationen
We propose a flexible class of skew‐symmetric distributions for which the probability density function has the form of a product of a symmetric density and a skewing function. By constructing an enumerable dense subset of skewing functions on a compact set, we are able to consider a family of distributions, which can capture skewness, heavy tails and multimodality systematically. We present three illustrative examples for the fibreglass data, the simulated data from a mixture of two normal distributions and the Swiss bills data.