[Home ] [Archive]    
Main Menu
Journal Information::
Home::
Archive::
For Authors::
For Reviewers::
Principles of Transparency::
Contact us::
::
Search in website

Advanced Search
..
Committed to

AWT IMAGE

Attribution-NonCommercial
CC BY-NC


AWT IMAGE

Open Access Publishing


AWT IMAGE

Prevent Plagiarism

..
Registered in


..
Statistics
Journal volumes: 17
Journal issues: 34
Articles views: 683905
Articles downloads: 342215

Total authors: 581
Unique authors: 422
Repeated authors: 159
Repeated authors percent: 27

Submitted articles: 368
Accepted articles: 266
Rejected articles: 25
Published articles: 219

Acceptance rate: 72.28
Rejection rate: 6.79

Average Time to Accept: 282 days
Average Time to First Review: 27.2 days
Average Time to Publish: 26.1 days

Last 3 years statistics:
Submitted articles: 54
Accepted articles: 37
Rejected articles: 6
Published articles: 17

Acceptance rate: 68.52
Rejection rate: 11.11

Average Time to Accept: 205 days
Average Time to First Review: 6.7 days
Average Time to Publish: 118 days
____
..
:: Volume 11, Issue 2 (3-2015) ::
JSRI 2015, 11(2): 131-145 Back to browse issues page
A Flexible Skew-Generalized Normal Distribution
Wahab Bahrami 1, Ehsan Qasemi
1- , wa.bahrami@gmail.com
Abstract:   (3941 Views)

 In this paper, we consider a flexible skew-generalized normal distribution. This distribution is denoted by $FSGN(/lambda _1, /lambda _2 /theta)$. It contains the normal, skew-normal (Azzalini, 1985), skew generalized normal (Arellano-Valle et al., 2004) and skew flexible-normal (Gomez et al., 2011) distributions as special cases. Some important properties of this distribution are established. Also, the practical usefulness of FSGN is illustrated via a well known real data set.: In this paper, we consider a flexible skew-generalized normal distribution. This distribution is denoted by $FSGN(/lambda _1, /lambda _2 /theta)$. It contains the normal, skew-normal (Azzalini, 1985), skew generalized normal (Arellano-Valle et al., 2004) and skew flexible-normal (Gomez et al., 2011) distributions as special cases. Some important properties of this distribution are established. Also, the practical usefulness of FSGN is illustrated via a well known real data set.

Keywords: Skew normal distribution, skew generalized normal distribution, skew flexible normal distribution, flexible skew generalized normal distribution
Full-Text [PDF 316 kb]   (2630 Downloads)    
Type of Study: Research | Subject: General
Received: 2015/11/24 | Accepted: 2015/11/24 | Published: 2015/11/24
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Bahrami W, Qasemi E. A Flexible Skew-Generalized Normal Distribution . JSRI 2015; 11 (2) :131-145
URL: http://jsri.srtc.ac.ir/article-1-29-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 11, Issue 2 (3-2015) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران Journal of Statistical Research of Iran JSRI
Persian site map - English site map - Created in 0.06 seconds with 41 queries by YEKTAWEB 4645