On generalized projectivity of two-level screening designs
H. Evangelaras and
C. Koukouvinos
Statistics & Probability Letters, 2004, vol. 68, issue 4, 429-434
Abstract:
Suppose a large number of two-level factors is examined in an experimental situation. Under the assumption of effect sparsity it is often anticipated that only a few experimental factors play an important role in the experiment. Usually, it is not known which columns of the experimental design will be of further interest. After the initial stage of factor screening, experimenters are usually interested in identifying and estimating interactions of factors that have been found active. It is therefore practical to select a design suitable to provide essential information for this purpose, for whatever choice of active factors. In this paper, we generalize the concept of projectivity of a screening design and we identify saturated screening designs of generalized projectivity Pa that guarantee the identification of P active main effects and their a-factor interactions.
Keywords: Screening; designs; Distinct; runs; Generalized; projectivity (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(04)00133-6
Full text for ScienceDirect subscribers only
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:eee:stapro:v:68:y:2004:i:4:p:429-434
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().