A Comprehensive Guide to Factorial Two-Level Experimentation

• Main Author: Mee, Robert. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York, 2009.
• Subjects: Statistics.; Chemistry.; Mechanical engineering.; Industrial engineering.; Marketing.; Materials.; Statistics, general.; Chemistry/Food Science, general.; Materials Science, general.; Industrial and Production Engineering.; Mechanical Engineering.
• Online Access: View fulltext via EzAccess

Factorial designs enable researchers to experiment with many factors. The 50 published examples re-analyzed in this guide attest to the prolific use of two-level factorial designs. As a testimony to this universal applicability, the examples come from diverse fields: Analytical Chemistry Animal Scie...

Table of Contents:

• Introduction to full factorial designs with two-level factors
• Analysis of full factorial experiments
• Common randomization restrictions
• More full factorial design examples
• fractional factorial designs: the basics
• Fractional factorial designs for estimating main effects
• Designs for estimating main effects and some two-factor interactions
• Resolution V fractional factorial designs
• Augmenting fractional factorial designs
• Fractional designs with randomization restrictions
• More fractional factorial design examples
• Response surface methods and second-order designs
• Special topics regarding the design
• Special topics regarding the analysis.