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
  • Locally minimax tests in symme...
  • More details
Cover Image

Locally minimax tests in symmetrical distributions

Year of publication:
1988
Authors: Giri, Narayan
Published in:
Annals of the Institute of Statistical Mathematics. - Springer. - Vol. 40.1988, 2, p. 381-394
Publisher: Springer
Subject: Hunt-Stein theorem | locally best invariant test | locally minimax test | uniformly most powerful invariant test | maximal invariant | nonnull robustness | null robustness | Wijsman's representation theorem
Saved in:
  • More details
Extent:
text/html
Type of publication: Article
Source:
RePEc - Research Papers in Economics
Persistent link: https://www.econbiz.de/10005169234
    • EndNote
    • BibTeX
    • Zotero, Mendeley, RefWorks, ...
    • Text
Saved in favorites
    Similar items by subject
    • Detection of multivariate outliers with location slippage or scale inflation in left orthogonally invariant or elliptically contoured distributions

      Hara, Takahiko, (1988)

    • Locally minimax test of independence in elliptically symmetrical distributions with additional observations

      Giri, N., (1992)

    • Goodness-of-Fit Tests for the Cauchy Distribution Based on the Empirical Characteristic Function

      Gürtler, Nora, (2000)

    • More ...
    Similar items by person
    • Bayesian estimation of means of a two-way classification with random effect model

      Giri, Narayan, (1970)

    • Locally minimax tests for a multinormal data problem

      Dahel, S., (1994)

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

    Loading...