Regression analysis of experiments with complex confounding patterns guided by the alias matrix.

DOI10.1016/S0167-9473(01)00056-1zbMath1132.62341OpenAlexW2061321762WikidataQ127215786 ScholiaQ127215786MaRDI QIDQ1605375

R. Smith

Publication date: 15 July 2002

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(01)00056-1

zbMATH Keywords

Effect sparsityAlias matrixAlias plotEffect heredity

Mathematics Subject Classification ID

Design of statistical experiments (62K99) Linear inference, regression (62J99)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A quantitative method for identifying active contrasts in unreplicated factorial designs based on the half-normal plot.
• Some projection properties of orthogonal arrays
• Generating alias relationships for two-level Plackett and Burman designs
• Some Main-Effect Plans and Orthogonal Arrays of Strength Two
• An Analysis for Unreplicated Fractional Factorials
• Inflation of R 2 in Best Subset Regression
• A Bayesian Variable-Selection Approach for Analyzing Designed Experiments with Complex Aliasing
• Characterizing projected designs: repeat and mirror-image runs
• Orthogonal Main-Effect Plans for Asymmetrical Factorial Experiments