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Introduction to probability and statistics for engineers and scientists

By: Publication details: Elsevier, 2020. Amsterdam:Edition: 3rd edDescription: xv, 624 p. : ill. ; hb, 25 cmISBN:
  • 9780128243466
Subject(s): DDC classification:
  • 519.2 ROS
Summary: For junior/senior undergraduates taking probability and statistics as it applies to engineering, science, or computer science, this classic text provides a rigorous introduction to basic probability theory and statistical inference that is motivated by engaging, relevant applications. It assumes knowledge of elementary calculus." "Adopters of earlier editions continue to praise the extraordinarily clear exposition and writing style. Ross emphasizes the manner in which probability yields insight into statistical problems ensuring this edition will appeal to a new generation of engineers and scientists. The enclosed CD-ROM contains easy-to-use software that automates many of the computations required for the exercises and aids students in applying probability theory to everyday statistical problems and situations
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Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books IIT Gandhinagar General Stacks General 519.2 ROS (Browse shelf(Opens below)) 1 Available 030037

Includes index.

For junior/senior undergraduates taking probability and statistics as it applies to engineering, science, or computer science, this classic text provides a rigorous introduction to basic probability theory and statistical inference that is motivated by engaging, relevant applications. It assumes knowledge of elementary calculus." "Adopters of earlier editions continue to praise the extraordinarily clear exposition and writing style. Ross emphasizes the manner in which probability yields insight into statistical problems ensuring this edition will appeal to a new generation of engineers and scientists. The enclosed CD-ROM contains easy-to-use software that automates many of the computations required for the exercises and aids students in applying probability theory to everyday statistical problems and situations

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