Matlab® in Quality Assurance Sciences

Fills a gap in the highly topical field of quality assurance (QA)

Leonid Burstein (Author)

9780857094872, Elsevier Science

Hardback, published 30 January 2015

264 pages
23.3 x 15.6 x 2.2 cm, 0.55 kg

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.

• 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

Subject Areas: Programming & scripting languages: general [UMX], Other vocational technologies & trades [TTV], Other manufacturing technologies [TDP], Ceramics & glass technology [TDCQ], Quality Assurance [QA & Total Quality Management TQM KJMQ]