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Applied statistics and probability for engineers / Douglas C Montgomery, George C. Runger
Hoboken, NJ : Wiley, 2018
xvi, 479, A-30, G-9, P-148, I-21 pages. : illustrations ; 26 cm.
Ký hiệu phân loại (DDC): 519.5
Applied Statistics and Probability for Engineersprovides a practical approach to probability and statistical methods. Students learn how the material will be relevant in their careers by including a rich collection of examples and problem sets that reflect realistic applications and situations. This product focuses on real engineering applications and real engineering solutions while including material on the bootstrap, increased emphasis on the use of p-value, coverage of equivalence testing, and combining p-values. The base content, examples, exercises and answers presented in this product have been meticulously checked for accuracy.
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Applied statistics and probability for engineers / Douglas C Montgomery, George C. Runger
Hoboken, NJ : Wiley, 2018
xvi, 479 pages, [67] various pagings : illustrations ; 26 cm. +
Ký hiệu phân loại (DDC): 519.5
Applied Statistics and Probability for Engineers provides a practical approach to probability and statistical methods. Students learn how the material will be relevant in their careers by including a rich collection of examples and problem sets that reflect realistic applications and situations. This product focuses on real engineering applications and real engineering solutions while including material on the bootstrap, increased emphasis on the use of p-value, coverage of equivalence testing, and combining p-values. The content, examples, exercises and answers presented in this product have been meticulously checked for accuracy
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Introduction to probability and statistics for engineers and scientists / Sheldon M. Ross
London, United Kingdom : Academic Press, 2021
xvi, 687 pages. : illustrations (some color) ; 25 cm.
Ký hiệu phân loại (DDC): 519.2
"Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedures commonly used by practicing engineers and scientists. Utilizing real data from actual studies across life science, engineering, computing and business, this useful introduction supports reader comprehension through a wide variety of exercises and examples. End-of-chapter reviews of materials highlight key ideas, also discussing the risks associated with the practical application of each material. In the new edition, coverage includes information on Big Data and the use of R. This book is intended for upper level undergraduate and graduate students taking a probability and statistics course in engineering programs as well as those across the biological, physical and computer science departments. It is also appropriate for scientists, engineers and other professionals seeking a reference of foundational content and application to these fields."
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