Matlab in quality assurances sciences / Leonid Burstein.

Format:

Book

Author/Creator:

Burstein, Leonid, author.

Series:

Woodhead Publishing in mechanical engineering.

Woodhead Publishing in Mechanical Engineering

Language:

English

Subjects (All):

Numerical analysis--Computer programs.

Numerical analysis.

Quality assurance--Mathematics--Computer simulation.

Quality assurance.

MATLAB.

Physical Description:

1 online resource (263 p.)

Edition:

First edition.

Place of Publication:

Cambridge, England ; Waltham, Massachusetts ; Kidlington, England : Woodhead Publishing, 2015.

Language Note:

English

System Details:

text file

Summary:

<i>MATLAB® in Quality Assurance Sciences</i> 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

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 plots3.2 Generation of plots ; 3.3 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

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

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

Notes:

Includes bibliographical references and index.

Includes index.

Description based on print version record.

ISBN:

9780857094889

0857094882

OCLC:

910446609