Experimental Design Techniques in Statistical Practice

A Practical Software-Based Approach


  • W P Gardiner, Glasgow Caledonian University
  • G Gettinby, University of Strathclyde, UK

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.
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Upper division undergraduate students, researchers, professionals


Book information

  • Published: January 1998
  • Imprint: Woodhead Publishing
  • ISBN: 978-1-898563-35-8


Two experienced statisticians here stress practical usage with emphasis on design, planning, usage and data handling. A rich assortment of worked examples and problems with solutions. SAS and Minitab software packages support the examples with clear command sequences. Straightforward and readable, it has excellent format and clear layout of computer output displays, statistical tables and glossary. It is an above average work on experimental designs, and a good resource for upper-division undergraduates and researchers through to professionals., Choice

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.