Modified skew-slash distribution. Issue 4 (16th February 2016)
- Record Type:
- Journal Article
- Title:
- Modified skew-slash distribution. Issue 4 (16th February 2016)
- Main Title:
- Modified skew-slash distribution
- Authors:
- Reyes, Jimmy
Gómez, Héctor W.
Vidal, Ignacio - Abstract:
- Abstract: In this work, we introduce a new skewed slash distribution. This modification of the skew-slash distribution is obtained by the quotient of two independent random variables. That quotient consists on a skew-normal distribution divided by a power of an exponential distribution with scale parameter equal to two. In this way, the new skew distribution has a heavier tail than that of the skew-slash distribution. We give the probability density function expressed by an integral, but we obtain some important properties useful for making inferences, such as moment estimators and maximum likelihood estimators. By way of illustration and by using real data, we provide maximum likelihood estimates for the parameters of the modified skew-slash and the skew-slash distributions. Finally, we introduce a multivariate version of this new distribution.
- Is Part Of:
- Communications in statistics. Volume 45:Issue 4(2016)
- Journal:
- Communications in statistics
- Issue:
- Volume 45:Issue 4(2016)
- Issue Display:
- Volume 45, Issue 4 (2016)
- Year:
- 2016
- Volume:
- 45
- Issue:
- 4
- Issue Sort Value:
- 2016-0045-0004-0000
- Page Start:
- 1070
- Page End:
- 1080
- Publication Date:
- 2016-02-16
- Subjects:
- Kurtosis -- Maximum likelihood estimator -- Modified skew-slash distribution -- Moment estimator -- Slash distribution.
60E05
Mathematical statistics -- Periodicals
Mathematics
Statistics
519.2 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/03610926.2013.854913 ↗
- Languages:
- English
- ISSNs:
- 0361-0926
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3363.432000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 322.xml