Statistical Methods in Practice: For Scientists and Technologists - Tapa dura

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ABOUT THE AUTHOR

Richard Boddy was a co-founder of Statistics for Industry and has been a Director of the company for 30 years during which time he has lectured on more than 300 courses to scientists and technologists from industry. He has jointly written more than 10 manuals on the use of statistics in Experimental Design, Quality Assurance, Microbiology and Analytical Chemistry among others. He is also co-author of Statistics for Analytical Chemists (Chapman & Hall 1983). He has acted as a consultant to a large number of companies including BP, Glaxo, Ineos, SKF, Chivas, Dupont, BNFL, and British Energy. Previously he was a Chemist with ICI before becoming a Chartered Statistician.

Gordon Smith has always been passionately interested in the practical application of statistics and in the clear communication of it to clients and colleagues in terms which have meaning to them. He was a University research fellow and tutor at Aberdeen University, statistician at the Torry Research Station (part of the then Ministry of Agriculture, Fisheries and Food) where he provided consultancy to scientists of all disciplines in fish technology, collaborating on research papers and providing training in the use of statistics and statistical packages, and director of Statistics for Industry where he developed and presented training courses to scientists and technologists of all disciplines at all level.

Statistics for Industry is a renowned training and consultancy company which was founded in1977 and have trained over 10,000 scientists and technologists in a variety of statistical applications. They have presented courses in Belgium, China, Germany, Ireland, Italy, Hungary, The Netherlands, Nigeria, South Africa, Sweden, Thailand, UK and the USA.

De la contraportada

This is a practical book on how to apply statistical methods successfully. The Authors have deliberately kept formulae to a minimum to enable the reader to concentrate on how to use the methods and to understand what the methods are for. Each method is introduced and used in a real situation from industry or research.

Each chapter features situations based on the authors’ experience and looks at statistical methods for analysing data and, where appropriate, discusses the assumptions of these methods.

Key features:

• Provides a practical hands-on manual for workplace applications.
• Introduces a broad range of statistical methods from confidence intervals to trend analysis.
• Combines realistic case studies and examples with a practical approach to statistical analysis.
• Features examples drawn from a wide range of industries including chemicals, petrochemicals, nuclear power, food and pharmaceuticals.
• Includes a supporting website, providing software to aid tutorials.

Scientists and technologists of all levels who are required to design, conduct and analyse experiments will find this book to be essential reading.