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Sample Size Calculations: Practical Methods for Engineers and Scientists

Paul Mathews

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ISBN 10: 0615324614 / ISBN 13: 9780615324616
Published by Mathews Malnar and Bailey, Inc.
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338 pages. Dimensions: 9.2in. x 6.1in. x 0.7in.Sample Size Calculations: Practical Methods for Engineers and Scientists presents power and sample size calculations for common statistical analyses including methods for means, standard deviations, proportions, counts, regression, correlation, and measures of agreement. Topics of special interest to quality engineering professionals include designed experiments, reliability studies, statistical process control, acceptance sampling, process capability analysis, statistical tolerancing, and gage error studies. The book emphasizes approximate methods, but exact methods are presented when the approximate methods fail. Monte Carlo and bootstrap methods are introduced for situations that dont satisfy the assumptions of the analytical methods. Solutions are presented for more than 170 example problems and solutions for selected example problems using PASS, MINITAB, Piface, and R are posted on the Internet. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9780615324616

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Bibliographic Details

Title: Sample Size Calculations: Practical Methods ...

Publisher: Mathews Malnar and Bailey, Inc.

Binding: Paperback

Book Condition:New

Book Type: Paperback

About this title

Synopsis:

Sample Size Calculations: Practical Methods for Engineers and Scientists presents power and sample size calculations for common statistical analyses including methods for means, standard deviations, proportions, counts, regression, correlation, and measures of agreement. Topics of special interest to quality engineering professionals include designed experiments, reliability studies, statistical process control, acceptance sampling, process capability analysis, statistical tolerancing, and gage error studies. The book emphasizes approximate methods, but exact methods are presented when the approximate methods fail. Monte Carlo and bootstrap methods are introduced for situations that don't satisfy the assumptions of the analytical methods. Solutions are presented for more than 170 example problems and solutions for selected example problems using PASS, MINITAB, Piface, and R are posted on the Internet.

About the Author:

Paul Mathews is president of Mathews Malnar and Bailey, Inc., a provider of quality engineering and applied statistical consulting and training services for R&D, product, process, and manufacturing engineering organizations. Paul has almost 30 years of experience as an engineer, scientist, professor, and consultant. He received a B.S. degree in physics from Miami University (1981) and an M.S. degree in physics from Case Western Reserve University (1986). Paul also holds ten patents and is the author of Design of Experiments with MINITAB (2005, ASQ Quality Press). Paul is a member of the American Statistical Association and a senior member of the American Society for Quality. In his free time, Paul and his wife Kathy race and cruise their sailboat Whitehawk on Lake Erie.

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