
Experimental Design Techniques in Statistical Practice
A Practical Software-Based Approach
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Provides an introduction to the diverse subject area of experimental design, with many practical and applicable exercises to help the reader understand, present and analyse the data. The pragmatic approach offers technical training for use of designs and teaches statistical and non-statistical skills in design and analysis of project studies throughout science and industry.
Key Features
- Provides an introduction to the diverse subject area of experimental design and includes practical and applicable exercises to help understand, present and analyse the data
- Offers technical training for use of designs and teaches statistical and non-statistical skills in design and analysis of project studies throughout science and industry
- Discusses one-factor designs and blocking designs, factorial experimental designs, Taguchi methods and response surface methods, among other topics
Readership
Upper division undergraduate students, researchers, professionals
Table of Contents
- Introduction; Inferential data analysis for simple experiments; One-factor designs; One-factor blocking designs; Factorial experimental designs; Hierarchical designs; Two-level factorial designs; Two-level fractional factorial designs; Two-level orthogonal arrays; Taguchi methods; Response surface methods; Appendices: Statistical tables; Answers to selected problems; Bibliography and index.
Product details
- No. of pages: 416
- Language: English
- Copyright: © Woodhead Publishing 1998
- Published: January 1, 1998
- Imprint: Woodhead Publishing
- eBook ISBN: 9780857099785
About the Authors
W P Gardiner
Formerly Glasgow Caledonian University, UK
Affiliations and Expertise
Formerly Glasgow Caledonian University, UK
G Gettinby
Affiliations and Expertise
University of Strathclyde, UK
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