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Introduction to probability and statistics for engineers and scientists

By: Material type: TextTextPublication details: New Delhi Academic Press 2014Edition: 5th edDescription: 670pISBN:
  • 9789351072805 (pbk.)
Subject(s): DDC classification:
  • 519.5 ROS
Summary: 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.
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Item type Current library Collection Call number Status Date due Barcode
Book Book Plaksha University Library Mathematics 519.5 ROS (Browse shelf(Opens below)) Available 002389
Book Book Plaksha University Library Mathematics 519.5 ROS (Browse shelf(Opens below)) Available 002390
Book Book Plaksha University Library Mathematics 519.5 ROS (Browse shelf(Opens below)) Available 002391
Book Book Plaksha University Library Mathematics 519.5 ROS (Browse shelf(Opens below)) Available 002392
Book Book Plaksha University Library Mathematics 519.5 ROS (Browse shelf(Opens below)) Available 002393
Book Book Plaksha University Library Mathematics 519.5 ROS (Browse shelf(Opens below)) Available 002394
Book Book Plaksha University Library Mathematics 519.5 ROS (Browse shelf(Opens below)) Available 002395
Book Book Plaksha University Library Mathematics 519.5 ROS (Browse shelf(Opens below)) Available 002396
Book Book Plaksha University Library Mathematics 519.5 ROS (Browse shelf(Opens below)) Available 002397
Book Book Plaksha University Library Mathematics 519.5 ROS (Browse shelf(Opens below)) Available 002398

https://www.elsevier.com/books/introduction-to-probability-and-statistics-for-engineers-and-scientists/ross/978-0-12-394811-3

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.

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