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Miller and Freund's probability and statistics for engineers / Richard A. Johnson, Irwin Miller, John Freund.

By: Contributor(s): Material type: TextTextPublication details: Harlow : Pearson, c2014.Edition: 8th edDescription: iv, 770 p. : ill. ; 28 cmISBN:
  • 9781292023830
Other title:
  • Probability and statistics for engineers
Subject(s): DDC classification:
  • 519.202/462
Online resources: Summary: For an introductory, one or two semester, sophomore-junior level course in Probability and Statistics or Applied Statistics for engineering, physical science, and mathematics students. This text is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data have been collected from the author's own consulting experience and from discussions with scientists and engineers about the use of statistics in their fields. In later chapters, the text emphasizes designed experiments, especially two-level factorial design.
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Holdings
Item type Current library Call number Status Date due Barcode
REGULAR University of Wollongong in Dubai Main Collection 519.202462 JO MI (Browse shelf(Opens below)) Available T0016101
REGULAR University of Wollongong in Dubai Main Collection 519.202462 JO MI (Browse shelf(Opens below)) Available T0016102
REGULAR University of Wollongong in Dubai Main Collection 519.202462 JO MI (Browse shelf(Opens below)) Available T0016103

For an introductory, one or two semester, sophomore-junior level course in Probability and Statistics or Applied Statistics for engineering, physical science, and mathematics students. This text is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data have been collected from the author's own consulting experience and from discussions with scientists and engineers about the use of statistics in their fields. In later chapters, the text emphasizes designed experiments, especially two-level factorial design.

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