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
  • Bayesian robustness on constra...
  • More details
Cover Image

Bayesian robustness on constrained density band classes

Year of publication:
1996
Authors: Perone-Pacifico, M. ; Salinetti, G. ; Tardella, L.
Published in:
TEST: An Official Journal of the Spanish Society of Statistics and Operations Research. - Springer. - Vol. 5.1996, 2, p. 395-409
Publisher: Springer
Subject: Bayesian robustness | Density band class | Neyman and pearson lemma | Linear constrained optimization | Fractional optimization
Saved in:
  • More details
Extent:
text/html
Type of publication: Article
Source:
RePEc - Research Papers in Economics
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005390570
    • EndNote
    • BibTeX
    • Zotero, Mendeley, RefWorks, ...
    • Text
Saved in favorites
    Similar items by subject
    • Necessary optimality conditions for a set-valued fractional extremal programming problem under inclusion constraints

      Gadhi, N., (2013)

    • An accelerated Newton-Dinkelbach method and its application to two variables per inequality systems

      Dadush, Daniel, (2023)

    • Optimizing healthcare network design under reference pricing and parameter uncertainty

      Denoyel, Victoire, (2017)

    • More ...
    Similar items by person
    • Uniform Convergence of Probability Measures: Topological Criteria

      Lucchetti, R., (1994)

    • Vol. 56: STOCHASTIC PROGRAMMING

      Andreatta, G.B., (1996)

    • Approximations of Bayes decision problems: The epigraphical approach

      Berger, J.O., (1995)

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

    Loading...