EconPapers    
Economics at your fingertips  
 

Overview of NonParametric Combination-based permutation tests for Multivariate multi-sample problems

Rosa Arboretti Giancristofaro () and Chiara Brombin ()
Additional contact information
Rosa Arboretti Giancristofaro: Università degli Studi di Padova - Italy
Chiara Brombin: Università Vita-Salute San Raffaele, Milano - Italy

Statistica, 2014, vol. 74, issue 3, 233-246

Abstract: In this work we present a review on nonparametric combination-based permutation tests along with SAS macros allowing to deal with two-sample and one-way MANOVA design problems, within NonParametric Combination methodology framework. Applications to real case studies are also presented.

Keywords: Multivariate multi-sample problems; One-way MANOVA design; NPC methodology; SAS (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://rivista-statistica.unibo.it/article/view/5303

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bot:rivsta:v:74:y:2014:i:3:p:233-246

Access Statistics for this article

Statistica is currently edited by Department of Statistics, University of Bologna

More articles in Statistica from Department of Statistics, University of Bologna Contact information at EDIRC.
Bibliographic data for series maintained by Giovanna Galatà ().

 
Page updated 2025-03-19
Handle: RePEc:bot:rivsta:v:74:y:2014:i:3:p:233-246