1 |
Cudney, E., Hong, J., Jugulum, R., Paryani, K., Ragsdell, K., and Taguchi, G. (2007), An Evaluation of Mahalanobis-Taguchi System and Neural Network for Multivariate Pattern Recognition, Journal of Industrial and Systems Engineering, 1(2), 139-150.
|
2 |
Cudney, E., Hong, J., Drain, D., Paryani, K., Ragsdell, K., and Sharma, N. (2009), A Comparison of the Mahalanobis-Taguchi System to A Standard Statistical Method for Defect Detection, Journal of Industrial and Systems Engineering, 2(4), 250-258.
|
3 |
Hastie, T., Tibshirani, R., and Friedman, J. (2009), The Elements of Statistical Learning : Data Mining, Inference, and Prediction, 2nd ed., Springer.
|
4 |
Hosmer, D.W. and Lemeshow, S. (2000), Applied Logistic Regression, 2nd ed, John Wiley and Sons, Inc.
|
5 |
Izenman, A. J. (2008), Modern Multivariate Statistical Techniques : Regression, Classification and Manifold Learning, Springer.
|
6 |
Johnson, R. A. and Wichern, D. W. (1992), Applied Multivariate Statistical Analysis, Englewood Ciffs, Prentice Hall.
|
7 |
Jugulum, R. and Monplaisir, L. (2002), Comparison between Mahalanobis-Taguchi-System and Artificial Neural Networks, Journal of Quality Engineering Society, 10(1), 60-73.
|
8 |
Kim, S. B., Tsui, K.-L., Sukchotrat, T., and Chen, V. (2009), A Comparison Study and Discussion of the Mahalanobis-Taguchi system. International Journal of Industrial and Systems Engineering, 4(6), 631-644.
DOI
|
9 |
Sigillito, V. G., Wing, S. P., Hutton, L. V., and Baker, K. B. (1989), Classification of Radar Returns from the Ionosphere using Neural Networks, Johns Hopkins APL Technical Digest, 10, 262-266.
|
10 |
Taguchi, G., Chowdury, S., and Wu, Y. (2001), The Mahalanobis Taguchi System, McGraw Hill, New York.
|
11 |
Taguchi, G. and Jugulum, R. (2000), New Trends in Multivariate Diagnosis, Indian Journal of Statistics, 62, Series B, 233-248.
|
12 |
Taguchi, G. and Jugulum, R. (2002), The Mahalanobis-Taguchi Strategy : A pattern technology system, John Wiley and Sons.
|
13 |
Tan, P.-N., Steinbach, M., and Kumar. V. (2006), Introduction to Data Mining, Addison-Wesley.
|
14 |
Vardhan, R. V., Sukanya, D. J. V., and Arthanari, T. S. (2012), Criteria of Classification and Measures of Performance, International Journal of Advance Mathemetics and Mathematical Stiences, 1(1), 41-48.
|
15 |
Wang, H.-C., Chiu, C.-C., and Su, C.-T. (2004), Data Classification using the Mahalanobis-Taguchi System, Journal of the Chinese Institute of Industrial Engineers, 21(6), 606-618.
DOI
|
16 |
Woodall, W. H., Koulelik, R., Tsui, K. L., Kim, S. B., Stoumbos, Z. G., and Carvounis, C. P. (2003), A Review and Analysis of the Mahalanobis Taguchi System, Technometrics, 45(1), 1-30.
DOI
ScienceOn
|