Experimental design and process optimization

Experimental Design and Process Optimization

Volumn , Issue , 2014, Pages 1-304

  Rodrigues, Maria Isabel ^a   Iemma, Antonio Francisco ^b  

^a UNIVERSITY OF CAMPINAS   (Brazil)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84973169979     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/b17848     Document Type: Book

References (29)

1. Anderson, V. L. and McLean, R. A. Design of Experiments—A Realistic Approach. Marcel Dekker, New York, 418 p., 1974.
2. Barros Neto, B., Scarminio, I. S. and Bruns, R. E. Como fazer experimentos—Pesquisa e desenvolvimento na ciência e na indústria. Ed. Unicamp, Campinas, 401 p., 2001.
3. Baumert, L., Golomb, S.W. and Hall, M. Discovery of an Hadamard matrix of order 92. Bulletin of the American Mathematical Society, 68 (3): 237–238, 1962.
4. Box, G. E. P. and Drapper, N. R. Empirical Model—Building and Response Surfaces. John Wiley & Sons, New York, 1987.
5. Box, G. E. P., Hunter, W. G. and Hunter, J. S. Statistics for Experimenters: An Introduction to Designs, Data Analysis and Model Building. Wiley, New York, 1978.
6. Burkert, J. F. M., Maugeri, F. and Rodrigues, M. I. Optimization of extracellular lipase production by Geotrichum sp using factorial design. Bioresource Technology, 91: 77–84, 2004.
7. Chakrabarti, M. C. Mathematics of Design and Analysis of Experiments. Bombay University Press, Bombay, 121 p., 1962.
8. Claustriaux, J. J. and Iemma, A. F. A propos des qualificatifs complet, orthogonal et équilibré en analyse de la variance. Notes de Statistique et Informatique, 2: 1–15, 1999.
9. Fellman, J. Topics on Singular Linear Models with Special Reference to Experimental Designs. Proc. First Tampere Sem. Linear Models, Tampere, 101–120, 1985.
10. Gilmour, S. G. Planning of Experiments. The University of Reading Press (course notes), Reading, 348 p., 1999.
11. Gómez, M., Del Real, S., Rosell, C., Ronda, F., Blanco, C.A. and Caballero, P.A. Functionality of different emulsifiers on performance of breadmaking and bread quality. European Food Research Technology, 219: 145–150, 2004.
12. Haaland, P. D. Experimental Design in Biotechnology. Marcel Dekker, Inc., New York, 1989.
13. Iemma, A. F. Análisis de varianza con datos desbalanceados. Univ. Nacional de Colombia, Bogotá, 102 p., 1993.
14. Iemma, A. F. and Claustriaux, J. J. Etude des hypothèses de l’analyse de la variance à deux critères de classification: Approche par l’exemple. Notes de Statistique et Informatique, 3: 1–36, 1999.
15. Iemma, A. F. and Palm, R. Interprétation géometrique de la régression. Notes de Statistique et Informatique, 2: 1–36, 2003.
16. Indrani, D., Prabhasankar, P., Rajiv, J. and Venkateswara Rao, G. Scanning electron microscopy, rheological characteristics, and bread-baking performance of wheat flour dough as affected by enzymes. Journal of Food Science, 68 (9): 2804–2809, 2003.
17. Jonh, P. W. M. Statistical Design and Analysis of Experiments. Macmillan, London, 356 p., 1971.
18. Kalil, S. J., Maugeri, F. and Rodrigues, M. I. Response surface analysis and simulation as a tool for bioprocess design and optimization. Process Biochemistry, 35: 539–550, 2000.
19. Khuri, A. I. and Cornell, J. A. Response Surface—Design and Analysis. ASQC Quality Press, Marcel Dekker, New York, 1987.
20. Mathieu, D., Phan-Tan-Luu, R. and Sergent, M. Criblage et étude des facteurs. Presse de l’Université de Marseille, Marseille, 243 p., 1997.
21. Mathieu, D., Phan-Tan-Luu, R. and Sergent, M. Méthodes d’optimisation directe. Presse de l’Université de Marseille, Marseille, 48 p., 1999.
22. Palm, R. and Iemma, A. F. Quelques alternatives à la régression classique dans le cas de la colinéarité. Revue de Statistique Appliqueé, 43 (2): 5–33, 1995.
23. Palm, R. and Iemma, A. F. Conditions d’application et transformation de vaiables en régression linéaire. Notes de Statistique et Informatique, 1: 1–34, 2002.
24. Pearce, S. C. The Agricultural Field Experiment. Wiley, New York, 335 p., 1983.
25. Plackett, R. L. and Burman, J. P. The design of optimum multifactorial experiments. Biometrika. London, 33: 305–325, 1946.
26. Raghavarao, D. Combinatorial Problems in Designs of Experiments. Wiley, New York, 386 p., 1971.
27. Rodrigues, M. I. Personal communication, 2004.
28. StatSoft. Statistica User’s Guide, 1994.
29. Yates, F. The design and analysis of factorial experiments. Technical Communicates of the Imperial Bureau of Soil Science. Harpenden, 35: 1–96, 1937.