Probability & Statistics for Engineers & Scientists

Walpole, Ronald E., Myers, Raymond H., Myers, Sharon L., Ye, Keying

ISBN 10: 0131877119 / ISBN 13: 9780131877115

Published by Pearson College Div, 2007

About this Item

Gently used. May include previous owner's signature or bookplate on the front endpaper, sticker on back and/or remainder mark on text block.

Seller Inventory # 9780131877115-3

Bibliographic Details

• Title: Probability & Statistics for Engineers & Scientists
• Publisher: Pearson College Div
• Publication Date: 2007
• Language: English
• ISBN 10: 0131877119
• ISBN 13: 9780131877115
• Binding: Hardcover
• Condition: very good

About this title

Synopsis

For junior/senior undergraduates taking probability and statistics as it applied to engineering, science or computer science.

 

With its unique balance of theory and methodology, this classic text provides a rigorous introduction to basic probability theory and statistical inference that is motivated by interesting, relevant applications. Extensively updated coverage, new problem sets, and chapter-ending material extend the text’s relevance to a new generation of engineers and scientists.

About the Author

Raymond H Myers is currently Professor Emeritus of statistics at Virginia Tech. He received his Masters and Ph.D. from Virginia Tech in statistics and his BS in chemical engineering. His major areas of interest are linear models, design of experiments, and response surface methodology. He has authored or co-authored six statistics texts that were published in fifteen separate editions and in several foreign languages.

He has received numerous teaching awards and in 1985 he was selected “Professor of the Year” in the state of Virginia by the Council on the Advancement and Support of Education. He was elected Fellow of ASA in 1974. In 1999 he was given the Shewhart Award for lifetime contributions in statistics and quality control by the American Society of Quality.

 

 

Sharon L Myers

 is currently Professor Emeritus of mathematics and statistics at Radford University. She received her MS in statistics from Virginia Tech. Her areas  of interest are statistical computing, regression analysis, and response surface methodology. She has co-authored three editions of “Probability & Statistics for Engineers & Scientists”. She was the assistant director of the statistical consulting center at Virginia Tech for 15 years and the director of the statistical consulting center at Radford University for 7 years.

 

Keying Ye, University of Texas at San Antonio