A quantitative method for identifying active contrasts in unreplicated factorial designs based on the half-normal plot

Computational Statistics and Data Analysis

Volumn 26, Issue 4, 1998, Pages 425-436

  Lawson, John ^a   Grimshaw, Scott ^a   Burt, Jason ^b  

^a BRIGHAM YOUNG UNIVERSITY   (United States)

^b MICRON TECHNOLOGY INC   (United States)

Author keywords

Half normal plot; Least squares fit; Normal plot; Prediction limits; Unreplicated design

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; GRAPHIC METHODS; LEAST SQUARES APPROXIMATIONS;

ACTIVE CONTRASTS IDENTIFICATION; HALF NORMAL PLOT;

STATISTICAL METHODS;

EID: 0032488774     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(97)00040-6     Document Type: Article

References (6)

1. Balakrishnan, N., Hamada, M., 1994. Analyzing unreplicated factorial experiments: A review with some new proposals. IIQP Research Report, University of Waterloo, Waterloo, Ontario, Canada, RR-94-12.
2. Box, G.E.P., Meyer, R.D., 1986. An analysis for unreplicated fractional factorials. Technometrics 28, 11-18.
3. Daniel, C., 1959. Use of half-normal plots in interpreting factorial two-level experiments. Technometrics 1, 311-341.
4. Daniel, C., 1976. Applications of Statistics to Industrial Experimentation. Wiley, New York.
5. Lenth, R.V., 1989. Quick and easy analysis of unreplicated factorials. Technometrics 31(4), 469-473.
6. Loh, W.L., 1992. Identification of active contrasts in unreplicaled factorial experiments. Comput. Statist. Data Anal. (1992) 14, 135-148.