Probability & Statistics for Engineers & Scientists 8th Edition by Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers and Keying Ye
Book Description :-
This book have more information about Probability and Statics form previous edition. With its unique balance of theory and methodology, this classic text provides a rigorous introduction to basic probability theory and statistical inference, motivated by interesting, relevant applications. Offers extensively updated coverage, new problem sets, and chapter-ending material to enhance the book’s relevance to today’s engineers and scientists. Includes 40% new problem sets demonstrating updated applications to engineering as well as biological, physical, and computer science. Emphasizes key ideas as well as the risks and hazards associated with practical application of the material. Includes new material on topics including
Difference between discrete and continuous measurements; binary data; quartiles; importance of experimental design; “dummy” variables; rules for expectations and variances of linear functions; Poisson distribution; Weibull and lognormal distributions; central limit theorem, and data plotting. Introduces Bayesian statistics, including its applications to many fields.
Book Details:-
Hardcover: 848 pages
Publisher: Prentice Hall; 8 edition (March 5, 2006)
Language: English
ISBN-10: 0131877119
ISBN-13: 978-0131877115
Book Description :-
This book have more information about Probability and Statics form previous edition. With its unique balance of theory and methodology, this classic text provides a rigorous introduction to basic probability theory and statistical inference, motivated by interesting, relevant applications. Offers extensively updated coverage, new problem sets, and chapter-ending material to enhance the book’s relevance to today’s engineers and scientists. Includes 40% new problem sets demonstrating updated applications to engineering as well as biological, physical, and computer science. Emphasizes key ideas as well as the risks and hazards associated with practical application of the material. Includes new material on topics including
Difference between discrete and continuous measurements; binary data; quartiles; importance of experimental design; “dummy” variables; rules for expectations and variances of linear functions; Poisson distribution; Weibull and lognormal distributions; central limit theorem, and data plotting. Introduces Bayesian statistics, including its applications to many fields.
Book Details:-
Hardcover: 848 pages
Publisher: Prentice Hall; 8 edition (March 5, 2006)
Language: English
ISBN-10: 0131877119
ISBN-13: 978-0131877115
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