|
Title
|
|
|
|
Optimum designs versus orthogonal arrays for main effects and two-factor interactions
|
|
|
Author
|
|
|
|
|
|
|
Abstract
|
|
|
|
| Designs with full estimation capacity permit estimation of all main effects and all two-factor interactions. By allowing correlation among the effects, the run size of such designs can be smaller than required for a resolution of 5. To construct a design, one can either use commercial software for designs with optimized D-efficiencies or a catalog of orthogonal arrays. In the context of a wood construction experiment, we discuss how to choose between these approaches. We enumerate mixed-level and multilevel resolution-4 designs with run size up to 72 and with the maximum number of factors compatible with a full estimation capacity. Algorithmically constructed benchmark designs were generated with commercial software. Our study results in a list of recommended designs. |
|
|
|
Language
|
|
|
|
English
|
|
|
Source (journal)
|
|
|
|
Journal of quality technology / American Society for Quality Control. - Milwaukee, Wis., 1969, currens
|
|
|
Publication
|
|
|
|
Milwaukee, Wis.
:
American Society for Quality Control
,
2010
|
|
|
ISSN
|
|
|
|
0022-4065
[print]
2575-6230
[online]
|
|
|
Volume/pages
|
|
|
|
42
:2
(2010)
, p. 197-208
|
|
|
ISI
|
|
|
|
000276125700007
|
|
|
Full text (Publisher's DOI)
|
|
|
|
|
|