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:

Metcalfe, Andrew V., et al [author.]

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	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.

"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