| Description |
1 online resource |
| Series |
Woodhead Publishing in mechanical engineering |
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Woodhead Publishing in mechanical engineering.
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| Note |
Includes index. |
| Contents |
Cover; MATLAB® in quality assurance sciences; Copyright; Dedication; Contents; List of figures and tables; Figures; Tables; Preface; Notes; About the author; 1. Introduction; MATLAB® and other software; The purpose and principal audience for this book; About the topics; About chapter design and questions for self-checking; The MATLAB® versions; Order of presentation; 2. Basics; 2.1 Starting with MATLAB® software; 2.2 Vectors, matrices, and arrays; 2.3 Flow control; 2.4 Questions for self-checking; 2.5 Answers to selected questions; 2.6 Notes; 3. MATLAB® graphics; 3.1 Generation of XY plots. |
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3.2 Generation of plots3.3 Specialized twoand three-dimensional plots; 3.4 Application examples; 3.5 Questions for self-checking; 3.6 Answers to selected questions; 3.7 Note; 4. Commands for probability distributions, random numbers, and special graphs; 4.1 Density, cumulative, and inverse cumulative functions for probability distributions; 4.2 Command for random number generation; 4.3 Supplementary commands for random numbers and probability distributions; 4.4 Application examples; 4.5 Specialized commands for graphical representation; 4.6 Application examples. |
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4.7 Questions for self-checking4.8 Answers to selected questions; 5. Script, function files, and some useful MATLAB® functions; 5.1 Script file; 5.2 Functions and function files; 5.3 Some useful MATLAB® functions; 5.4 Application examples; 5.5 Questions for self-checking; 5.6 Answers to selected questions; 5.7 Note; 6. Hypothesis tests; 6.1 Hypothesis testing outlines; 6.2 The test with the command; 6.3 Wilcoxon rank sum test; 6.4 Sample size and power of test; 6.5 Supplementary commands for the hypothesis tests; 6.6 Application examples; 6.7 Questions for self-checking. |
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6.8 Answers to selected questions7. Ordinary differential equations and tools for their solution; 7.1 The ODE solvers for solving ordinary differential equations; 7.2 Numerical methods and the ODE solvers; 7.3 The ODE solver command forms and steps for their solution; 7.4 Additional forms of the ODE solver commands; 7.5 Application examples; 7.6 Questions for self-checking; 7.7 Answers to selected questions; 7.8 Notes; Appendix : MATLAB® characters, operators, and commands; Index. |
| Summary |
MATLAB® in Quality Assurance Sciences fills a gap in the highly topical field of quality assurance (QA). It is a compact guide for students, engineers, and scientists in this field. It concentrates on MATLAB® fundamentals with examples of application to a wide range of current problems from general, nano and bio-technology, and statistical control, to medicine and industrial management. Examples cover both the school and advanced level; comprising calculations of total quality management, six sigma, time series, process improvement, metrology, quality control, human factors in quality assuran. |
| Bibliography |
Includes bibliographical references and index. |
| Subject |
MATLAB.
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MATLAB |
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Numerical analysis -- Computer programs.
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Quality assurance -- Mathematics -- Computer simulation.
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Assurance qualité -- Mathématiques -- Simulation par ordinateur. |
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Numerical analysis -- Computer programs |
| Other Form: |
Print version: Burstein, Leonid. Matlab® in Quality Assurance Sciences. Burlington : Elsevier Science, ©2015 9780857094872 |
| ISBN |
9780857094889 (electronic bk.) |
|
0857094882 (electronic bk.) |
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