Probability and Statistics for Engineering and the Sciences
Author(s): Leif Ellingson (Author), Anna Panorska (Author)
Publisher finelybook 出版社: Cengage Learning
Publication Date 出版日期: January 1, 2026
Edition 版本: 10th
Language 语言: English
Print length 页数: 736 pages
ISBN-10: 8214023823
ISBN-13: 9788214023824
Book Description
Put statistical theories into practice with “Probability and Statistics for Engineering and the Sciences,” 10th Edition. This calculus-based approach offers a comprehensive introduction to probability models and statistical methods common in engineering and scientific disciplines. The authors place a strong emphasis on fundamental concepts, models and methodologies, while also providing the underlying rationale for each topic. With updated content, authentic problem scenarios in examples and exercises incorporate real-world data to demonstrate practical relevance.
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About the Author
Leif Ellingson is a professor of statistics in the Department of Mathematics and Statistics at Texas Tech University. He earned his undergraduate degree in mathematics from the University of Maryland and his master’s degree and PhD in statistics from Florida State University. In addition to teaching mathematical statistics for engineers and scientists, Leif also frequently teaches introductory statistics and various graduate statistics courses. He has received multiple teaching awards from Texas Tech for his work teaching undergraduate and graduate statistics courses along with mentoring and advising graduate and undergraduate students on their research. In his spare time, Leif enjoys watching movies, reading, practicing tang soo do and above all else, spending time with his wife, Wenjing, and their son.
Anna Panorska is a professor of statistics in the Department of Mathematics and Statistics of the University of Nevada Reno. She studied applied mathematics at the University of Warsaw, Poland, and earned her MS in Statistics at the University of Texas at El Paso and PhD in Mathematics (Statistics and Applied Probability track) from the University of California at Santa Barbara. She has been developing and teaching undergraduate and graduate courses in statistics and data science for many years. She received multiple awards for her research work with undergraduate and graduate students. She has been advising and collaborating with undergraduate and graduate students in engineering and science on applying statistical methods in their disciplines. She enjoys collaborative, multidisciplinary research and developed statistical methodology used in ecology, extreme climate and weather events, medicine and finance. In her spare time Anna enjoys hiking, skiing, gardening, reading, spending time with her family and playing with her dog.
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