Introduction To Probability And Statistics For Engineers And Scientists by Sheldon M. RossIntroduction To Probability And Statistics For Engineers And Scientists by Sheldon M. Ross

Introduction To Probability And Statistics For Engineers And Scientists

bySheldon M. RossEditorSheldon M. Ross

Hardcover | August 14, 2014

not yet rated|write a review

Pricing and Purchase Info

$86.90 online 
$173.81 list price save 50%
Earn 435 plum® points

In stock online

Ships free on orders over $25

Not available in stores

about

Introduction to Probability and Statistics for Engineers and Scientists, Fifth Editionis a proven text reference that provides a superior introduction to applied probability and statistics for engineering or science majors. The book lays emphasis in 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 from actual studies across life science, engineering, computing and business are incorporated in a wide variety of exercises and examples throughout the text. These examples and exercises are combined with updated problem sets and applications to connect probability theory to everyday statistical problems and situations. The book also contains end of chapter review material that highlights key ideas as well as the risks associated with practical application of the material. Furthermore, there are new additions to proofs in the estimation section as well as new coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.

This text is intended for upper level undergraduate and graduate students taking a course in probability and statistics for science or engineering, and for scientists, engineers, and other professionals seeking a reference of foundational content and application to these fields.



  • Clear exposition by a renowned expert author
  • Real data examples that use significant real data from actual studies across life science, engineering, computing and business
  • End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material
  • 25% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science
  • New additions to proofs in the estimation section
  • New coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.

About The Author

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A...
Introduction To Probability Models
Introduction To Probability Models

by Sheldon M. Ross

$128.67$157.44

In stock online

Not available in stores

Introductory Statistics
Introductory Statistics

by Sheldon M. Ross

$97.59$122.00

Available for download

Not available in stores

An Elementary Introduction to Mathematical Finance
An Elementary Introduction to Mathematical Finance

by Sheldon M. Ross

$70.39$87.93

Available for download

Not available in stores

Shop this author

Details & Specs

Title:Introduction To Probability And Statistics For Engineers And ScientistsFormat:HardcoverDimensions:686 pages, 9.41 × 7.24 × 0.98 inPublished:August 14, 2014Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0123948118

ISBN - 13:9780123948113

Customer Reviews of Introduction To Probability And Statistics For Engineers And Scientists

Reviews

Extra Content

Table of Contents

1. Introduction to Statistics 2. Descriptive Statistics 3. Elements of Probability 4. Random Variables and Expectation 5. Special Random Variables 6. Distributions of Sampling Statistics 7. Parameter Estimation 8. Hypothesis Testing 9. Regression 10. Analysis of Variance 11. Goodness of Fit Tests and Categorical Data Analysis 12. non parametric HypothesisTests 13. Quality Control 14. LifeTesting 15. Simulation, Bootstrap Statistical Methods, and Permutation Tests

Editorial Reviews

"...the book is intended for an introductory course, and assumes elementary calculus."--Gazette of the Australian Mathematical Society, Introduction to Probability and Statistics for Engineers and Scientists, Fifth Edition