Statistics in engineering : with examples in MATLABھ and R / Andrew Metcalfe, David Green, Tony Greenfield, Mahayaudin Mansor, Andrew Smith, and Jonathan Tuke.Material type: TextSeries: Texts in statistical science: Boca Raton : CRC Press, Taylor & Francis Group, 2019Edition: Second editionDescription: xviii, 792 pages ; 26 cmISBN: 9781439895474; 1439895473Subject(s): Engineering -- Statistical methods | Engineering mathematics | Engineering mathematics | Engineering -- Statistical methods | Statistique mathقematique | MATLAB (logiciel)DDC classification: 519.5
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|Foreign books||Library (men) - مكتبة الخدمات وقاعات الاطلاع (رجال) فرع خريص||519.5 M.A.S (Browse shelf)||1||Available||e126208|
Includes bibliographical references 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 -- 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.
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