Introduction to Probability and Statistics for Engineers and Scientists
Sheldon M. Ross ... 680 pages - Publisher: Academic Press; 4th edition (February, 2009) ... Language: English - ISBN-10: 0123704839 - ISBN-13: 978-0123704832.
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.
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.