Lawson / Erjavec Experimental Strategies and Data Analysis for Research

Erscheinungsjahr 2016
ISBN: 978-1-4665-1218-4
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 450 Seiten

Although books covering experimental design are often written for academic courses taken by statistics majors, most experiments performed in industry and academic research are designed and analyzed by non-statisticians. Therefore, a need exists for a desk reference that will be useful to practitioners who use experimental designs in their work. This book fills that gap. It is written as a guide that can be used as a reference book or as a sole or supplemental text for a university course.

Zielgruppe

This book is intended for working professionals, students in laboratory courses and students working on research projects who have need to do empirical experimentation to answer research questions.

Autoren/Hrsg.

Lawson, John

Erjavec, John

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Industrielle Qualitätskontrolle
• Wirtschaftswissenschaften Betriebswirtschaft Management Qualitätsmanagement, Qualitätssicherung (QS), Total Quality Management (TQM)

Inhaltsverzeichnis

Strategies for Experimentation. Statistical Analysis of Experimental Data. Basic Two-Level Factorial Experiments. Advanced Topics in the Design and Analysis of 2k Factorial Experiments. General Factorial Experiments and ANOVA. Regression Analysis of Experimental Data. Variance Component Studies. Screening Designs. Optimization Experiments. Response Surface Model Fitting. Sequential Experimentation. Mixture Experiments. Practical Suggestions for Successful Experimentation. Appendix.

Über Autor(innen)

John Lawson is a professor of statistics in the Department of Statistics at Brigham Young University, Provo, Utah. John Erjavec is a retired professor and chair of the Department of Chemical Engineering, University of North Dakota, Grand Forks, North Dakota.