EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • EN 
    • DE
    • ES
    • FR
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Research Skills
  • Help
  • EN 
    • DE
    • ES
    • FR
  •  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 Hierarchical Classes...
  • More details
Cover Image

Bayesian Hierarchical Classes Analysis

Year of publication:
2008
Authors: Leenen, Iwin ; Mechelen, Iven ; Gelman, Andrew ; Knop, Stijn
Published in:
Psychometrika. - Springer. - Vol. 73.2008, 1, p. 39-64
Publisher: Springer
Subject: Bayesian | hierarchical classes | Markov chain Monte Carlo simulation | Metropolis algorithm | psychiatric diagnosis | psychology of choice
Saved in:
Check full text access |
More access options
Check Google Scholar
In German libraries (KVK)
I need help
  • More details
Extent:
text/html
Type of publication: Article
Source:
RePEc - Research Papers in Economics
Persistent link: https://www.econbiz.de/10005381842
    • EndNote - Citavi, Endnote, RefWorks, ...
    • BibTeX - Zotero, Mendeley, RefWorks, ...
    • Text
Saved in favorites
    Similar items by subject
    • Probability matrix decomposition models

      Maris, Eric, (1996)

    • The conjunctive model of hierarchical classes

      Mechelen, Iven, (1995)

    • Hierarchical classes: Model and data analysis

      Boeck, Paul, (1988)

    • More ...
    Similar items by person
    • The Local Minima Problem in Hierarchical Classes Analysis: An Evaluation of a Simulated Annealing Algorithm and Various Multistart Procedures

      Ceulemans, Eva, (2007)

    • A conjunctive parallelogram model for pick any/n data

      Leenen, Iwin, (2004)

    • Models for ordinal hierarchical classes analysis

      Leenen, Iwin, (2001)

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

    Loading...