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

Computational Statistics and Data Analysis

Volumn 39, Issue 2, 2002, Pages 227-241

  Lawson, John ^a  

^a BRIGHAM YOUNG UNIVERSITY   (United States)

Author keywords

Alias matrix; Alias plot; Effect heredity; Effect sparsity

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SOFTWARE; DATA REDUCTION; MATRIX ALGEBRA;

STATISTICAL SOFTWARE;

REGRESSION ANALYSIS;

REGRESSION ANALYSIS;

EID: 0037188236     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(01)00056-1     Document Type: Article

References (24)

1. Orthogonal main effect plans for asymmetrical factorial experiments
2. Symmetrical and asymmetrical fractional factorial experiments
3. An analysis for unreplicated fractional factorials
4. Finding the active factors in fractionated screening experiments
5. On experimental attainment of optimum conditions
6. Some projection properties of orthogonal arrays
7. A Bayesian variable-selection approach for analyzing designed experiments with complex aliasing
8. Projection methods for generating mixed level fractional factorial designs
9. Projection methods for generating supersaturated designs
10. Characterizing projected designs: Repeat and mirror-image runs
11. Variable selection via gibbs sampling
12. Analysis of designed experiments with complex aliasing
13. Statistical design applied to product design
14. High-cycle fatigue of weld repaired cast Ti-6A1-4V
15. A quantitative method for identifying active contrasts in unreplicate designs based on the half normal plot
16. Spotlight interaction effects in main-effect plans: A supersaturated design approach
17. Projection properties of Plackett and Burman designs
18. Generating alias relationships for two-level Plackett and Burman designs
19. 2 in best subset regression
20. A hidden projection property of Plackett-Burman and related designs