A0492
Title: Confounding measure of various effects in fractional factorial designs
Authors: Zhiming Li - Xinjiang University (China) [presenting]
Abstract: The design of experiments has played a fundamental role in the statistical curriculum, practice, and research ever since R.A. Fisher founded the modern discipline. Fractional factorial design has always played a prominent role in the theory and practice of experimental design. The general minimum lower order confounding (GMC) criterion is one of the widely used criteria for selecting optimal designs based on the aliased-effect number pattern. Thus, how to analyze the confounding properties is a main issue of the concern, including lower-order and third-order confounding among various factorial or component effects of two-level, three-level, and general-level fractional factorial designs.
