Design of Experiments: An Introduction Based on Linear Models (Chapman & Hall/CRC Texts in Statistical Science) - Softcover

Morris, Max

Softcover

ISBN 10: 1138111783 ISBN 13: 9781138111783

Verlag: Routledge, 2017

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

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.

Details zur Ausgabe

• Verlag: Routledge
• Erscheinungsdatum: 2017
• Sprache: Englisch
• ISBN 10: 1138111783
• ISBN 13: 9781138111783
• Einband: Tapa blanda
• Auflage: 1
• Anzahl der Seiten: 376
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar