A messy, but instructive, case study in design of experiments

Quality Engineering

Volumn 12, Issue 2, 1999, Pages 211-216

  Cooley, Belva J ^a,e,f   Franklin, LeRoy A ^b,d,f   Elrod, Gary ^c,d,f,g  

^a UNIVERSITY OF MONTANA   (United States)

^b ROSE HULMAN INSTITUTE OF TECHNOLOGY   (United States)

^c SIEMENS CORPORATE RESEARCH   (United States)

^d INDIANA STATE UNIVERSITY   (United States)

^e OKLAHOMA STATE UNIVERSITY   (United States)

^f ASQ   (United States)

^g Mathematics Department ^*

Author keywords

Design of experiments; Fisher's least significant difference test; Homogeneity of variance; Missing data; Post hoc comparisons

Indexed keywords

EID: 10944227020     PISSN: 08982112     EISSN: None     Source Type: Journal    
DOI: 10.1080/08982119908962578     Document Type: Article

References (7)

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3. Minitab, Minitab User's Guide, Release 12, Minitab, 1997.
4. Box, G. E. P., Effects of Inequality of Variance and of Correlation Between Errors in the Two-Way Classification, Ann. Math. Statist., 25, 484-498 (1954).
5. Neter, J., Wasserman, W., Nachtschiem, C. J., and Kutner, M. H., Applied Linear Statistical Models: Regression, Analysis of Variance, and Experimental Designs, Richard D. Irwin, Homewood, IL, 1996.
6. Ryan, T. P., Modern Regression Methods, John Wiley & Sons, New York, 1997.
7. Triola, M. F. and Franklin, L. A., Business Statistics, Addison-Wesley, Reading, MA, 1994.