Max Morris

Design of Experiments

An Introduction Based on Linear Models

• Gebundenes Buch

Produktbeschreibung

Offering deep insight into the connections between design choice and the resulting statistical analysis, this text explores how experiments are designed using the language of linear statistical models. It presents an organized framework for understanding the statistical aspects of experimental design as a whole within the structure provided by general linear models. The text describes specific forms or classes of experimental designs, incorporates actual experiments drawn from the scientific and technical literature, and includes many end-of-chapter exercises. Calculations are performed using R, with commands provided in an appendix. A solutions manual is available upon qualified course adoption.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 376
• Erscheinungstermin: 27. Juli 2010
• Englisch
• Abmessung: 241mm x 161mm x 24mm
• Gewicht: 676g
• ISBN-13: 9781584889236
• ISBN-10: 1584889233
• Artikelnr.: 30593312

Autorenporträt

Max D. Morris is a professor in the Department of Statistics and the Department of Industrial and Manufacturing Systems Engineering at Iowa State University. A fellow of the American Statistical Association, Dr. Morris is a recipient of the National Institute of Statistical Sciences Sacks Award for Cross-Disciplinary Research and the American Society for Quality Wilcoxon Prize.

Inhaltsangabe

Introduction. Linear Statistical Models. Completely Randomized Designs.
Randomized Complete Blocks and Related Designs. Latin Squares and Related
Designs. Some Data Analysis for CRDs and Orthogonally Blocked Designs.
Balanced Incomplete Block Designs. Random Block Effects. Factorial
Treatment Structure. Split-Plot Designs. Two-Level Factorial Experiments:
Basics. Two-Level Factorial Experiments: Blocking. Two-Level Factorial
Experiments: Fractional Factorials. Factorial Group Screening Experiments.
Regression Experiments: First-Order Polynomial Models. Regression
Experiments: Second-Order Polynomial Models. Introduction to Optimal
Design. Appendices. References. Index.