Statistics in Research and Development

By: R. Caulcutt

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Hardcover | 10 October 1991 | Edition Number 2

At a Glance

Hardcover
484 Pages

Edition Type
New edition

Dimensions(cm)
24.0 x 15.6 x 3.2

Hardcover

$717.75

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Many scientists and technologists would like to carry out their own statistical analyses without reference to a professional statistician. Often, however, they have no knowledge of statistics or otherwise do not know how to apply it to research and development problems. The first edition of Statistics in Research and Development was written for these people. The second edition brings the book up-to-date.

The text is divided into two parts; the first introduces basic but very important statistical techniques whilst the second part presents the modern powerful methods of data analysis that are particularly useful in modern research and development. Problems are provided at the end of each chapter with worked solutions provided at the end of the book. A problem-centered approach is used throughout and care has been taken to choose problems with which the scientist or technologist can identify. The results of the statistical analyses are reinterpreted into the language of the scientist. Mathematics is kept to a minimum and the assumptions underlying each technique are clearly explained. All the techniques introduced are powerful and proven, and commercial computer programs are available for many of them.

Industry Reviews

"Includes new sections on statistical process control and Taguchi methods. The book is friendly to read...I enjoyed it more than the usual introductory text because of its use, in the early chapters, of a single manufacturing example to set a common context for all the methods presented." -Short Book Review of the International Statistical Institute "(The new sections) continue the fine features of the first edition - practical approach, clear explanations, extensive use of chemistry examples, and good problem sets...This remains a very fine book." -Technometrics "This book is easy to read and digest, and I liked the author's writing style. It contains a minimal amount of formulas and details about statistical techniques, and instead stresses their applications. The data examples were particularly insightful...Overall, I would recommend this book to individuals intersted in a basic introduction to understanding how statistical techniques can be used to solve industrial problems." -Journal of Quality Technology

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