Cumulative correspondence analysis of ordered categorical data from industrial experiments

References

• Asiabar , M. H. and Ghomi , S. M.T.F. 2006 . Analysis of ordered categorical data using expected loss minimization . Qual. Eng. , 18 : 117 – 121 .
   Google Scholar
• Barlow , R. E. , Bartholomew , D. J. , Bremner , J. M. and Brunk , H. D. 1972 . Statistical Inference Under Order Restrictions , New York : Wiley .
   Google Scholar
• Beh , E. J. 1997 . Simple correspondence analysis of ordinal cross-classifications using orthogonal polynomials . Biometr. J. , 39 : 589 – 613 .
   Web of Science ®Google Scholar
• Beh , E. J. , D'Ambra , L. and Simonetti , B. 2007 . “ Cumulative correspondence analysis for ordered categorial data using Taguchi's statistic ” . in review
   Google Scholar
• Box , G. and Jones , S. 1986 . Discussion of “Testing in industrial experiments with ordered categorical data” . Technometrics , 28 ( 4 ) : 295 – 301 .
   Web of Science ®Google Scholar
• Chipman , H. A. and Hamada , M. S. 1996 . Bayesian analysis of ordered categorical data from industrial experiments . Technometrics , 35 : 1 – 10 .
   Google Scholar
• Greenacre , M. J. 1984 . Theory and Application of Correspondence Analysis , London : Academic Press .
   Google Scholar
• Hamada , M. and Wu , C. F.J. 1990 . A critical look at accumulation analysis and related methods . Technometrics , 32 : 119 – 162 .
   Web of Science ®Google Scholar
• Jeng , Y. C. and Guo , S. M. 1996 . Quality improvement for RC06 chip resistor . Qual. Reliab. Eng. Int. , 12 : 439 – 445 .
   Web of Science ®Google Scholar
• Koch , G. G. , Tangen , C. , Tudor , G. and Stokes , M. 1990 . Strategies and issues for the analysis of ordered categorical data from multifactor studies in industry . Technometrics , 32 : 137 – 149 .
   Web of Science ®Google Scholar
• Nair , V. N. 1986 . Testing in industrial experiments with ordered categorical data . Technometrics , 28 : 283 – 291 .
   Web of Science ®Google Scholar
• Nair , V. N. 1987 . Chi-squared type tests for ordered alternatives in contingency tables . J. Am. Statist. Assoc. , 82 : 283 – 291 .
   Web of Science ®Google Scholar
• Parsa , A. R. and Smith , B. S. 1993 . Scoring under ordered constraints in contingency tables . Commun. Stat., Theory Methods , 22 : 3537 – 3551 .
   Web of Science ®Google Scholar
• Phadke , S. M. 1989 . Quality Engineering Using Robust Design , New Jersey : Prentice-Hall .
   Google Scholar
• Ritov , Y. and Gilula , Z. 1993 . Analysis of contingency tables by correspondence models subject to ordered constraints . J. Am. Statist. Assoc. , 88 : 1380 – 1387 .
   Web of Science ®Google Scholar
• Satterthwaite , F. E. 1946 . An approximate distribution of estimates of variance components . Biometrics Bull. , 2 : 110114
   Web of Science ®Google Scholar
• Schriever , B. F. 1983 . Scaling of order dependent categorical variables with correspondence analysis . Int. Sta. Rev. , 51 : 225 – 238 .
   Web of Science ®Google Scholar
• Taguchi , G. 1966 . Statistical Analysis (in Japanese) , Tokyo : Maruzen .
   Google Scholar
• Taguchi , G. 1974 . A new statistical analysis for clinical data, the accumulating analysis, in contrast with the chi-square test . Saishin Igaku , 29 : 806 – 813 .
   Google Scholar
• Taguchi , G. 1991 . Taguchi Methods: Case Studies from the U.S. and Europe , Michigan : American Supplier Institute .
   Google Scholar
• Taguchi , G. 1991 . Taguchi Methods: Research and Development , Michigan : American Supplier Institute .
   Google Scholar
• Taguchi , G. 1991 . Taguchi Methods: Signal-to-noise Ratio for Quality Evaluation , Michigan : American Supplier Institute .
   Google Scholar
• Wang , C. H. and Tong , L. I. 2003 . Quality improvement for dynamic ordered categorical response using grey relational analysis . Adv. Manufact. Technol. , 21 : 377 – 383 .
   Web of Science ®Google Scholar
• Wu , F. and Yeh , C. 2006 . A comparative study on optimization methods for experiments with ordered categorical data . Comput. Ind. Eng. , 50 : 220 – 232 .
   Web of Science ®Google Scholar