Matlab® in Quality Assurance Sciences

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.

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