Introduction to Probability and Statistics for Engineers and Scientists

Nonfiction, Science & Nature, Mathematics, Applied, Statistics
Cover of the book Introduction to Probability and Statistics for Engineers and Scientists by Sheldon M. Ross, Elsevier Science
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Author: Sheldon M. Ross ISBN: 9780080919379
Publisher: Elsevier Science Publication: March 13, 2009
Imprint: Academic Press Language: English
Author: Sheldon M. Ross
ISBN: 9780080919379
Publisher: Elsevier Science
Publication: March 13, 2009
Imprint: Academic Press
Language: English

This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage.

As with the previous editions, Ross' text has remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications apply probability theory to everyday statistical problems and situations.

New to the 4th Edition:

  • New Chapter on Simulation, Bootstrap Statistical Methods, and Permutation Tests
  • 20% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science
  • New Real data examples that use significant real data from actual studies across life science, engineering, computing and business
  • New End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage.

As with the previous editions, Ross' text has remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications apply probability theory to everyday statistical problems and situations.

New to the 4th Edition:

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