Introduction to Probability and Statistics for Engineers and Scientists

Nonfiction, Science & Nature, Mathematics, Probability, Statistics
Cover of the book Introduction to Probability and Statistics for Engineers and Scientists by Sheldon M. Ross, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Sheldon M. Ross ISBN: 9780123948427
Publisher: Elsevier Science Publication: August 14, 2014
Imprint: Academic Press Language: English
Author: Sheldon M. Ross
ISBN: 9780123948427
Publisher: Elsevier Science
Publication: August 14, 2014
Imprint: Academic Press
Language: English

Introduction to Probability and Statistics for Engineers and Scientists, Fifth Edition is 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.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Introduction to Probability and Statistics for Engineers and Scientists, Fifth Edition is 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.

More books from Elsevier Science

Cover of the book Silicate Glasses and Melts by Sheldon M. Ross
Cover of the book Materials and Innovative Product Development by Sheldon M. Ross
Cover of the book Compressor Performance by Sheldon M. Ross
Cover of the book Stochastic Analysis of Mixed Fractional Gaussian Processes by Sheldon M. Ross
Cover of the book Transparency for Sustainability in the Food Chain by Sheldon M. Ross
Cover of the book Seafloor Geomorphology as Benthic Habitat by Sheldon M. Ross
Cover of the book A Complete Guide to Quality in Small-Scale Wine Making by Sheldon M. Ross
Cover of the book Switchmode RF and Microwave Power Amplifiers by Sheldon M. Ross
Cover of the book Solid State Physics by Sheldon M. Ross
Cover of the book Oxidative Stress and Biomaterials by Sheldon M. Ross
Cover of the book Insect Resistance Management by Sheldon M. Ross
Cover of the book Long Non-coding RNA by Sheldon M. Ross
Cover of the book LTE-Advanced by Sheldon M. Ross
Cover of the book Implantable Biomedical Microsystems by Sheldon M. Ross
Cover of the book Process Pipe and Tube Welding by Sheldon M. Ross
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy