EconPapers    
Economics at your fingertips  
 

A powerful test method for analyzing unreplicated factorials

Ying Chen

Journal of Applied Statistics, 2013, vol. 40, issue 7, 1387-1401

Abstract: In this paper, a new test method for analyzing unreplicated factorial designs is proposed. The proposed method is illustrated by some examples. An extensive simulation with the standard 16-run designs was carried out to compare the proposed method with three another existing methods. Besides the usual power criterion, another three versions of power, Power I--III, were also used to evaluate the performance of the compared methods. The simulation study shows that the proposed method has higher ability than the remaining three compared methods to identify all active effects without misidentifying any inactive effects as active.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/02664763.2013.785500 (text/html)
Access to full text is restricted to subscribers.

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:taf:japsta:v:40:y:2013:i:7:p:1387-1401

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20

DOI: 10.1080/02664763.2013.785500

Access Statistics for this article

Journal of Applied Statistics is currently edited by Robert Aykroyd

More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:japsta:v:40:y:2013:i:7:p:1387-1401