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Matlab® in Quality Assurance Sciences - 1st Edition - ISBN: 9780857094872, 9780857094889

Matlab® in Quality Assurance Sciences

1st Edition

Author: L Burstein
eBook ISBN: 9780857094889
Hardcover ISBN: 9780857094872
Imprint: Woodhead Publishing
Published Date: 30th January 2015
Page Count: 264
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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 assurance, measurement and testing techniques, quality project and function management, and customer satisfaction.

This book covers key topics, including: the basics of software with examples; graphics and representations; numerical computation, scripts and functions for QA calculations; ODE and PDEPE solvers applied to QA problems; curve fitting and time series tool interfaces in calculations of quality; and statistics calculations applied to quality testing.

Key Features

  • Includes MATLAB® fundamentals, matrices, arrays, general graphics and specialized plots in quality assurance problems, script files, ordinary and partial differential equations
  • Gives calculation of six sigma, total quality management, time series forecasting, reliability, process improvement, metrology, quality control and assurance, measurement and testing techniques
  • Provides tools for graphical presentation, basic and special statistics and testing, ordinary and partial differential solvers, and fitting tools


Practicing quality assurance engineers; Non-programmers using MATLAB for the first time; Scientists who need to solve specific QA problems and search for similar problems solvable for MATLAB.

Table of Contents

  • Dedication
  • List of figures and tables
  • Preface
  • About the author
  • 1: Introduction
    • Abstract
    • 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
    • Abstract
    • 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
  • 3: MATLAB® graphics
    • Abstract
    • 3.1 Generation of XY plots
    • 3.2 Generation of XYZ plots
    • 3.3 Specialized two- and three-dimensional plots
    • 3.4 Application examples
    • 3.5 Questions for self-checking
    • 3.6 Answers to selected questions
  • 4: Commands for probability distributions, random numbers, and special graphs
    • Abstract
    • 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
    • 4.7 Questions for self-checking
    • 4.8 Answers to selected questions
  • 5: Script, function files, and some useful MATLAB® functions
    • Abstract
    • 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
  • 6: Hypothesis tests
    • Abstract
    • 6.1 Hypothesis testing outlines
    • 6.2 The t-test with the ttest 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
    • 6.8 Answers to selected questions
  • 7: Ordinary differential equations and tools for their solution
    • Abstract
    • 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
  • Appendix: MATLAB® characters, operators, and commands
  • Index


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© Woodhead Publishing 2015
30th January 2015
Woodhead Publishing
eBook ISBN:
Hardcover ISBN:

About the Author

L Burstein

Dr Leonid Burstein is a staff member of Kinneret Academic College (Quality Assurance Department), before that he taught at the Technion -IIT, at ORT Braude College, and at several other academic institution in Western and Lower Galilee, in Israel. His scientific work has been reported in more than 50 publications in leading scientific journals. He is author and contributor of published textbooks, monographs, and an Editorial Board member and reviewer for several international scientific journals.

Affiliations and Expertise

Senior Lecturer in Quality Assurance and Reliability, Technion, Haifa University, Israel

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