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Statistics in engineering : with examples in MATLAB and R / Andrew V. Metcalfe, David A. Green, Tony Greenfield, Mahayaudin M. Mansor, Andrew Smith and Jonathan Tuke.

By: Contributor(s): Series: Chapman & Hall/CRC texts in statistical science seriesPublisher: Boca Raton, Florida, USA : CRC Press, Taylor & Francis Group, ©2019Edition: Second editionDescription: xviii, 792 pages : ill. ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781439895474
Subject(s): DDC classification:
  • 519.5 St29 2019 23
LOC classification:
  • TA340 .M45 2019
Contents:
Why understand statistics? -- Probability and making decisions -- Graphical displays of data and descriptive statistics -- Discrete probability distributions -- Continuous probability distributions -- Correlation and functions of random variables -- Estimation and inference -- Linear regression and linear relationships -- Multiple Regression -- Statistical quality control -- Design of experiments with regression analysis -- Design of experiments and analysis of variance -- Probability Models -- Sampling strategies -- Notation -- Glossary -- Getting started in R -- Getting started in MATLAB -- Practicals Experiments
Summary: "This is a textbook for an undergraduate course in statistics for engineers with a minimal calculus prerequisite. The second edition differs from existing books in three main aspects: it is the only introductory statistics textbook written for engineers that uses R throughout the text, there is an emphasis on statistical methods most relevant to engineers that are illustrated with practical applications, and there is an emphasis on random number generation and simulation, all very useful features in engineering"-- Provided by publisher.
Holdings
Item type Current library Collection Call number Status Barcode
Books Books College Library General Circulation Section GC GC 519.5 St29 2019 (Browse shelf(Opens below)) Available HNU002159

Includes bibliographical references (pages 783-787) and index.

Why understand statistics? -- Probability and making decisions -- Graphical displays of data and descriptive statistics -- Discrete probability distributions -- Continuous probability distributions -- Correlation and functions of random variables -- Estimation and inference -- Linear regression and linear relationships -- Multiple Regression -- Statistical quality control -- Design of experiments with regression analysis -- Design of experiments and analysis of variance -- Probability Models -- Sampling strategies -- Notation -- Glossary -- Getting started in R -- Getting started in MATLAB -- Practicals Experiments

"This is a textbook for an undergraduate course in statistics for engineers with a minimal calculus prerequisite. The second edition differs from existing books in three main aspects: it is the only introductory statistics textbook written for engineers that uses R throughout the text, there is an emphasis on statistical methods most relevant to engineers that are illustrated with practical applications, and there is an emphasis on random number generation and simulation, all very useful features in engineering"-- Provided by publisher.

College of Engineering and Computer Studies Bachelor of Science in Civil Engineering

Text in English

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