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PROBABILITY & STATISTICS FOR ENGINEERS & SCIENTISTS (8TH By Ronald E. Walpole - Picture 1 of 1

Probability and Statistics for Engineers and Scientists by Keying Ye, Ronald E. Walpole, Sharon L. Myers and Raymond Myers (2006, Hardcover)

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About this product

Product Identifiers

PublisherPrentice Hall PTR

ISBN-100131877119

ISBN-139780131877115

eBay Product ID (ePID)4419793

Product Key Features

Number of Pages848 Pages

LanguageEnglish

Publication NameProbability and Statistics for Engineers and Scientists

SubjectEngineering (General), Probability & Statistics / General

Publication Year2006

FeaturesRevised

TypeTextbook

Subject AreaMathematics, Technology & Engineering

AuthorKeying Ye, Ronald E. Walpole, Sharon L. Myers, Raymond Myers

FormatHardcover

Dimensions

Item Height0.7 in

Item Weight49.7 Oz

Item Length9.3 in

Item Width7.5 in

Additional Product Features

Edition Number8

Intended AudienceCollege Audience

LCCN2005-058605

Dewey Edition23

IllustratedYes

Dewey Decimal519.5

Table Of Content1. Introduction to Statistics and Data Analysis 2. Probability 3. Random Variables and Probability Distributions 4. Mathematical Expectations 5. Some Discrete Probability Distributions 6. Some Continuous Probability Distributions 7. Functions of Random Variables (optional) 8. Fundamental Distributions and Data Description 9. One and Two Sample Estimation Problems 10. One and Two Sided Tests of Hypotheses 11. Simple Linear Regression 12. Multiple Linear Regression 13. One Factor Experiments: General 14. Factorial Experiments (Two or More Factors) 15. 2 k Factorial Experiments and Fractions 16. Nonparametric Statistics 17. Statistical Quality Control 18. Bayesian Statistics

Edition DescriptionRevised edition

SynopsisWith its unique balance of theory and methodology, this classic textprovides a rigorous introduction to basic probability theory andstatistical inference, motivated by interesting, relevant applications.Offers extensively updated coverage, new problem sets, andchapter-ending material to enhance the book's relevance to today'sengineers and scientists. Includes new problem sets demonstratingupdated applications to engineering as well as biological, physical, andcomputer science., 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 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. For those interested in learning more about probability and statistics., For junior/senior undergraduates taking probability and statistics as it applied to engineering, science or computer science. With its unique balance of theory and methodology, this classic text provides a rigorous introduction to basic probability theory and statistical inference that is motivated by interesting, relevant applications. Extensively updated coverage, new problem sets, and chapter-ending material extend the text's relevance to a new generation of engineers and scientists.

LC Classification NumberTA340.P738 2006