Matlab® in Quality Assurance Sciences

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 calcul ations of quality; and statistics calculations applied to quality testing.

Inhaltsverzeichnis:

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 exampl es 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 A pplication examples 7.6 Questions for self-checking 7.7 Answers to selected questions Appendix: MATLAB® characters, operators, and commands Index