Herramientas Personales
Usted está aquí: Inicio Ingeniería Experimental Statistics Schedule

Schedule

Acciones de Documento
  • Enviar esto
  • Imprimir esto
  • Content View
  • Bookmarks
Lecture Topic Reading 
1 Introduction 1,2
2-3 Basic Definition in experimental design: factor, levels, resposes, treatments, randomization, blocking... 3
4-6 Experiments with a single factor. ANOVA (fixed model) 3.1, 3.2, 3.3
7 Comparison of individual treatment, LSD. 3.5.7
8-9 Model Adequacy Checking. Barlett=s test Transformation 3.4, 3.5.8, 14.1
10-11 Choice of Sample Size. Kruskal-Wallis Test. Repeated measures. 3.7, 3.10.1, 14.4
12 The regression approach to ANOVA. 3.9
13-15 Randomized Complete Block Design. The Latin Square Design. The Greco-Latin Square Design. 4
16-17 Factorial design, advantages, definitions, fitting models, choices sample size. 5.1, 5.2, 5.3, 5.5
18-19-20 The 2K factorial designs. 23 design, single replication. 6.1, 6.3, 6.4, 6.5, 6.6
21-22 Confounding in the 2K factorial. Partial confounding. 7
23-24-25 Two-level fractional factorial designs. 8
26-27 The 3K factorial designs. 9.1, 9.3
28-29 Random and mixed models. Expected means squares. 12.1, 12.2, 12.3
30-31 Two-stage nested design. 13.1
32-33 The split-plot design. 13.4
34 Response Surface Methods. 11.1
35 The method of steepest ascent. 11.2
36-37  Analysis of a second order model. 11.3
38 Experimental designs for fitting response surfaces- Box - Behnken design. 11.4
39 Mixture Experiments 11.5
40 Taguchi=2 Philosohpy 11.7

 

*All readings from Montgomery, 2000.
Copyright 2009, Cite/attribute Resource. marion. (2008, December 02). Schedule. Retrieved September 06, 2010, from OpenCourseWare de la Universidad de Puerto Rico Web site: http://www.ocwupr.org:8080/ocw/ingenieria/diseno-de-experimentos/lectures. Esta obra se publica bajo una licencia Creative Commons License. Creative Commons License