Capítulo 12: Bibliografía
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1 Capítulo 12: Bibliografía
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3 12 Bibliografía Addelman, S. Symetrical and asymmetrical fractional factorial plans Tecnometrics, Vol. 4. (1962) Addelman,. Some two-level factorial plans with confounding. Tecnometrics, Vol. 6. (1964) Atkinson, A. C. Regresion Diagnostics, Transformations and Constructed Variables (with Discussion). Journal of the Royal Statistical Society B44. (1982) Bergman, B. and Hynen, A. Dispersion Effects from unreplicated designs in the 2 k-p series. Tecnometrics, Vol. 39, 2. (1997) Bérubé, J. And Wu, C. F. J. Signal-to-Noise Ratio and related measures in parameter designs. TR nº 321. Department of Statistics. The Univerity of Michigan (1998) Bisgaard, S. The Design and Analysis of 2 k-p x 2 q-r Split Plot Designs. Journal of Quality Technology, Vol. 32, 1. (2000) Bisgaard, S. and Ankenman, B. Analytic parameter design. Quality Engineering, Vol. 8, 1. (1995-6) Box, G.E.P Off line Quality Control, Parameter design, and the Taguchi Method. Discussion. Journal of Quality Technology, Vol. 17, 4. (1985) Box, G.E.P and Draper, N. R. Empirical Model-Building and Response Surfaces. New York: Wiley. 1987) Box, G.E.P. and Fung, C. A. Some Considerations in Estimating Data Transformations Technical Summary Report 2609, University of Wisconsin-Madison, Mathematics Research Center. (1983) Box, G.E. P., and Hill, W. J. Correcting Inhomogenety of Variance With Power Transformation Weighting. Technometrics, Vol. 16 (1974) 265
4 Box, G. E. P., Hunter, W. G., and Hunter, J. S. Estadística para investigadores. Introducción al diseño de experimentos, análisis de datos y construcción de modelos. Ed. Reverté, S.A. (1988) Box, G. E. P. and Jones, S. P. Designing Products that Are Robust to the Environment. Total Quality Management, Vol. 3 (1992) Box, G.E.P and Meyer, R. D. Dispersion effects from fractional designs. Tecnometrics, Vol. 28, 1. (1986) Box, G.E.P and Meyer, R. D. An analysis for unreplicated fractional factorials. Tecnometrics, Vol. 28. (1986) Box, G.E.P. and Ramírez, J. Studies in quality improvement: Signal to noise ratios, perfomance criteria and statistical analisys: part II. Center for Quality and Productivity Improvement, Report Nº 12. University of Wisconsin-Madison. (1986) Box, G.E.P Signal-to-noise ratios, perfomance criteria and transformations.. Tecnometrics, Vol. 30, 1. (1988) Box, G.E.P Quality Quandaries. Split Plot Experiments. Quality Engineering, Vol. 8, 3. (1996) Breyfogle, F. W. Implementing Six Sigma. New York:Wiley (1999) Cox, D. R. Planning of Experiments, New York: Wiley.(1958) Daniel, C. Use of half-normal plots in interpreting factorial two-level experiments. Technometrics, 1. (1959) Easterling, R. G. Off line Quality Control, Parameter design, and the Taguchi Method. Discussion. Journal of Quality Technology, Vol. 17, 4. (1985) Fellner, W. H. Robust estimation of variance components. Tecnometrics, Vol. 28, 1. (1986) Ferrer, A. J. and Romero, R. A sample method to study dispersion effects from non necessarily replicated data in industrial contexts. Quality Engineering, Vol. 7, 4. (1995) Freund, R. A. Off line Quality Control, Parameter design, and the Taguchi Method. Discussion. Journal of Quality Technology, Vol. 17, 4. (1985) 266
5 Fuller, H. T. And Bisgaard, S. A Comparison of Dispersion Effect Identification Methods for Unreplicated Two-Level Factorials. Report No Center for Quality and Productivity Improvement. UW-Madison. (1996) Fung, C. A. Statistical topics in off-line quality control. PHD. Department of Statistics. University of Madison-Wisconsin (1986) Grego, J. Generalized linear models and process variation. Journal of Quality Technology, Vol 25, 4. (1993) Grima, P. Aportaciones metodológicas al diseño de productos robustos. Tesis Doctoral. Universitat Politècnica de Ctalunya. (1993) Gunter, B. A perspective on the Taguchi Methods. Quality Progress, Vol. 20, 6. (1987) Hamada, M. and Nelder, J. A. Generalized Linear Models for Quality-Improvement Experiments. Journal of Quality Technology, Vol. 29, 3. (1997) Harry, M. and Schroeder, R. Six Sigma: the Breakthrough Management Strategy Revolutionizing the World s Top Corporations. Currency, (2000) Hurley, P.D. The conservative nature of the effect sparsity assumption for saturated fractional factorial experiments. Quality Engineering, Vol. 7, 4. (1995) Hurley, P.D. Interactions: ignore them at your own risk (How Taguchi s confirmation run sttrategy can lead to truble). Quality Engineering, Vol. 6, 3. (1994) Jones, S. P. Designs for minimizing the effect of environmetal variables. PHD. Department of Statistics. University of Madison-Wisconsin (1990) Kackar, R.N. Off line Quality Control, Parameter design, and the Taguchi Method.. Journal of Quality Technology, Vol. 17, 4. (1985) Lawson, J. and Helps, R. Detecting undesirable interactions in robust design experiments. Quality Engineering, Vol. 8, 3. (1996) Leon, R., Shoemaker, A.C. and Kackar, R. Perfomance Mesures Independent of Adjustement: An Explanation and Extension of Taguchi s Signal-to-Noise Ratios (with response). Tecnometrics, Vol. 29 (1987) Lorenzen, T. Taguchi s parameter design: a panel discussion.. Tecnometrics, Vol. 34, 2. (1992) 267
6 Lucas, J. M Off line Quality Control, Parameter design, and the Taguchi Method. Discussion. Journal of Quality Technology, Vol. 17, 4. (1985) Lucas, J. M. How to achieve a robust process using response surface methodology. Journal of Quality Technology, Vol. 26, 4. (1994) Maghsoodloo, S. The exact relation of Taguchi s signal-to-noise ratio to his quality loss function. Journal of Quality Technology, Vol. 22, 1. (1990) Marsh, Moran, Nakui and Hoffher Facilitating and Training in Quality Function Deployment. GOAL/QPC, Primera Edición. (1991) Miller, A., Sitter, R. R., Wu, C. F. J. and Long, D. Are large Taguchi-style experiments necessary? A reanalysing of gear and pinion data. Quality Engineering, Vol. 6, 1. (1993) Miller, A. and Wu, C. F. J. Improving a Calibration System through Designed Experiments (in press) Montgomery, D. C. Using fractional factorial designs for robust process development. Quality Engineering, Vol. 3, 2. (1990) Myers, R. H., Khuri, A. I. And Vining, G. Response surface alternatives to the Taguchi robust parameter design approach. The American Statistician, Vol. 46, 2. (1992) Nair, V. N. and Pregibon, D. Analyzing dispersion effects from replicated factorial experiments. Tecnometrics, Vol. 30, 3. (1988) Nair, V. N. and Pregibon, D. Signal-to-noise ratios, perfomance criteria and transformations. Discussion. Tecnometrics, Vol. 30, 1. (1988) Nair, V.N. and panel discussants: Abraham, B. and Mackay, J.; Box, G. E.P.; Kacker, R. N.; Lorenzen, T. J.; Lucas, J. M.; Myers, R. H. And Vining, G.G.; Nelder, J.A.; Phadke; M. S.; Sacks, J. and Welch, W. J.; Shoemaker, A. C. And Tsui, K. L.; Taguchi, S.; Wu, C. F. J. Taguchi s parameter design: a panel discussion.. Tecnometrics, Vol. 34, 2. (1992) Pande, P. S., Neuman, R. P. and Cavanagh, R. R. The Six Sigma Way. McGraw Hill. (2000) 268
7 Pignatiello, J. J. Jr. and Ramberg, J. S. Off line Quality Control, Parameter design, and the Taguchi Method. Discussion. Journal of Quality Technology, Vol. 17, 4. (1985) Sacks, J. and Welch, W. J. Taguchi s parameter design: a panel discussion.. Tecnometrics, Vol. 34, 2. (1992) Shoemaker, A. C., Tsui, K. Taguchi s parameter design: a panel discussion.. Tecnometrics, Vol. 34, 2. (1992) Shoemaker, A. C., Tsui, K. and Wu, C. F. J. Economical Experimentation methods for robust design. Tecnometrics, Vol. 33, 4. (1991) Steinberg, D. M. and Bursztyn Dispersion effects in robust-design experiments with noise factors. Journal of Quality Technology, Vol 26, 1. (1994) Taguchi, G. Introduction to Quality Engineering. Designing Quality Into Products and Processes., White Plains, NY: Kraus International Publications.(1986) Taguchi, G. and Wu, Y. Introduction to Off-Line quality Control. Nagaya, Japan: Central Japan Quality Control Association. (1980) Taguchi, G. System of Experimental Design. White Plains, NY: Unipub/Kraus International Publications. (1987) Ullman, N. R. Signal-to-noise ratios, perfomance criteria and transformations. Discussion. Tecnometrics, Vol. 30,.(1988) Wang, P. C. Tests for Dispersion Effects from Orthogonal Arrys. Computational Statistics and Data Analysis, Vol. 8. (1989) Welch, W. J., Yu, T. K., Kang, S. M., and Sacks, J. Computer Experiments for Quality Control by Parameter Design. Journal of Quality Technology, Vol. 22. (1990) Wu C. F. J. and Hamada, M. Experiments. Planning, Analysis and Parameter Design Optimization. New York: Wiley, (2000) Wu, C. F. J. and Zhu, AND. Optimal Selection of Single Arrays in Parameter Design Experiments. Technical Report, Department os Statistics, University of Michigan. (1999) Wu, Y. and Wu, A. Diseño robusto utilizando los métodos de Taguchi. Ed. Díaz de Santos. (1997) 269
8 Zunica, L. R. y Romero, R. Un modelo para el estudio de efectos sobre la dispersión en ausencia de replicaciones. Estadística Española, 116 (1987) 270
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