The detection and estimation of outliers in a saturated factorial experimental setting is researched and discussed. Methods for detection and estimation are developed and tested in both simulated and "real" data sets. The techniques developed proved themselves useful in both detection and estimation of outlying values. The simulated data sets also showed how an outlier can affect the interpretation of an experiment depending on the number and sizes of active effects and on the amount the outlying value is actually shifted.
Library of Congress Subject Headings
Outliers (Statistics); Factorial experiment designs
Cretekos, George F., "Detection and estimation of outliers in low-resolution saturated factorial experiments" (1992). Thesis. Rochester Institute of Technology. Accessed from
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