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

Author: Metcalfe, Andrew V. author.

Edition Statement:Second edition.

ImprintBoca Raton : CRC Press, Taylor & Francis Group, [2019]

Descriptionxviii, 792 pages : illustrations ; 25 cm.

Note: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 -- Experiments.

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

Note:"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.



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Author:
Metcalfe, Andrew V. author.
Series Statement
Texts in statistical science
Subject:
Engineering -- Statistical methods.
Engineering mathematics.
Contributor
Green, David (David A.) author.
Greenfield, Tony, author.
Mansor, Mahayaudin (Mahayaudin M.) author.
Smith, Andrew (Andrew G.) author.
Tuke, Jonathan, author.
Series Added Entry-Uniform title
Texts in statistical science.