Volume no :5, Issue no: 2, June (2011)

ESTIMATION METHODS FOR MISSING DATA IN UN-REPLICATED FACTORIAL AND FRACTIONAL FACTORIAL DESIGNS

Author's: Maher Qumsiyeh and Kraig Kirchner
Pages: [131] - [147]
Received Date: June 13, 2011
Submitted by:

Abstract

In factorial and fractional factorial designs, each effect is dependent on every observation. Therefore, missing observations in factorial designs can drastically alter these effects. To restore the orthogonal structure to the design, estimation methods are needed. After estimation, the half-normal plot for the effects needs to be examined. If insignificant effects approximately point toward the origin, then we have a proper estimation. Current, popular estimation methods sacrifice effects in order to calculate missing observations. In this paper, we have attempted new estimation methods without explicitly sacrificing effects that seem to work well.

Keywords

un-replicated factorial and fractional factorial experiments, missing values, effect estimation.