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: subject:"multivariate one-way ANOVA"
Narrow search

Narrow search

Year of publication
Subject
All
Gibbs sampling 2 Marginal likelihoods 1 Maximum-Likelihood-Methode 1 Multivariate Analyse 1 Multivariate one-way ANOVA 1 Multivariate regression 1 Outliers 1 Sensitivity analysis 1 Sensitivitätsanalyse 1 Varianzanalyse 1 marginal likelihoods 1 multivariate one-way ANOVA 1 multivariate regression 1 outliers 1 sensitivity analysis 1
more ... less ...
Online availability
All
Free 2
Type of publication
All
Book / Working Paper 2
Type of publication (narrower categories)
All
Working Paper 1
Language
All
English 2
Author
All
Polasek, Wolfgang 2
Institution
All
Department of Economics and Finance Research and Teaching, Institut für Höhere Studien (IHS) 1
Published in...
All
Economics Series / Department of Economics and Finance Research and Teaching, Institut für Höhere Studien (IHS) 1 Reihe Ökonomie / Economics Series 1
Source
All
EconStor 1 RePEc 1
Showing 1 - 2 of 2
Cover Image
Multivariate regression and ANOVA models with outliers: A comparative approach
Polasek, Wolfgang - 2003
Assuming a normal-Wishart modelling framework we compare two methods for finding outliers in a multivariate regression (MR) system. One method is the add-1-dummy approach which needs fewer parameters and a model choice criterion while the other method estimates the outlier probability for each...
Persistent link: https://www.econbiz.de/10010292779
Saved in:
Cover Image
Multivariate Regression and ANOVA Models with Outliers: A Comparative Approach
Polasek, Wolfgang - Department of Economics and Finance Research and … - 2003
Assuming a normal-Wishart modelling framework we compare two methods for finding outliers in a multivariate regression (MR) system. One method is the add-1-dummy approach which needs fewer parameters and a model choice criterion while the other method estimates the outlier probability for each...
Persistent link: https://www.econbiz.de/10005572016
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...