EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search
  • Analyzing skewed data by power...
  • More details
Cover Image

Analyzing skewed data by power normal model

Year of publication:
2008
Authors: Gupta, Rameshwar ; Gupta, Ramesh
Published in:
TEST: An Official Journal of the Spanish Society of Statistics and Operations Research. - Springer. - Vol. 17.2008, 1, p. 197-210
Publisher: Springer
Subject: Skewed normal distribution | Generalized skew normal distribution | Skewness parameter | Estimation and testing
Saved in:
  • More details
Extent:
text/html
Type of publication: Article
Source:
RePEc - Research Papers in Economics
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005759572
    • EndNote
    • BibTeX
    • Zotero, Mendeley, RefWorks, ...
    • Text
Saved in favorites
    Similar items by subject
    • Plausibility regions on the skewness parameter of skew normal distributions based on inferential models

      Zhu, Xiaonan, (2017)

    • (Generalized) maximum cumulative direct, paired, and residual Φ entropy principle

      Klein, Ingo, (2017)

    • An accept-reject algorithm for the positive multivariate normal distribution

      Botts, Carsten, (2013)

    • More ...
    Similar items by person
    • Generalized skew normal model

      Gupta, Ramesh, (2004)

    • Monotonicity of the (reversed) hazard rate of the (maximum) minimum in bivariate distributions

      Gupta, Ramesh, (2006)

    • Analysis of Hybrid Life-tests in Presence of Competing Risks

      Kundu, Debasis, (2007)

    • More ...
    A service of the
    zbw
    • Sitemap
    • Plain language
    • Accessibility
    • Contact us
    • Imprint
    • Privacy

    Loading...