Applied Statistics for Engineers and Scientists 3rd Edition by Jay L. Devore, ISBN-13: 978-1133111368
[PDF eBook eTextbook]
Publisher: Cengage Learning; 3 edition (August 8, 2013)
This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR ENGINEERS AND SCIENTISTS emphasizes application of methods to real problems, with real examples throughout.
The use of statistical models and methods for describing and analyzing data has become common practice in virtually all scientific disciplines. This book provides a comprehensive introduction to those models and methods most likely to be encountered and used by students in their careers in engineering and the natural sciences. It is appropriate for courses of one term (semester or quarter) in duration.
Students in a statistics course designed to serve other majors are too often initially skeptical of the value and relevance of the subject matter. Our experience, however, is that students can be turned on to the subject by the use of good examples and exercises that blend their everyday experiences with their scientific interests. We have worked hard to find examples involving real, rather than artificial, data—data that someone thought was worth collecting and analyzing. Many of the methods presented throughout the book are illustrated by analyzing data taken from a published source. The exercises form a very important component of the book. A really good lecturer can deceive students into thinking they have an excellent mastery of the subject, only to discover otherwise when they start working problems. We have therefore provided a rich assortment of exercises designed to reinforce understanding of the material. A substantial majority of these are based on real data, and we have tried as much as possible to avoid mathematical manipulation for its own sake. Someone who attempts a good portion of the exercises will gain a greater appreciation of the scope and applicability of the subject than would be gleaned simply by reading the text.
About the Author
Jay Devore is Professor Emeritus of Statistics at California Polytechnic State University. He earned his undergraduate degree in Engineering Science from the University of California at Berkeley, spent a year at the University of Sheffield in England, and finished his Ph.D. in statistics at Stanford University. Jay previously taught at the University of Florida and at Oberlin College and has had visiting appointments at Stanford, Harvard, the University of Washington, New York University, and Columbia University. From 1998 to 2006, he served as Chair of the Cal Poly Statistics Department. In addition to this book, Jay has written several other widely used statistics texts for engineers and scientists and a book in applied mathematical statistics. He recently coauthored a text in probability and stochastic processes. He is the recipient of a distinguished teaching award from Cal Poly, is a Fellow of the American Statistical Association, and has served several terms as an Associate Editor of the “Journal of the American Statistical Association.” In his spare time, he enjoys reading, cooking and eating good food, tennis, and travel to faraway places. He is especially proud of his wife, Carol, a retired elementary school teacher, his daughter Allison, who has held several high-level positions in nonprofit organizations in Boston and New York City, and his daughter Teresa, a high school teacher in Brooklyn.
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