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    1. Data och IT
    2. Affärsapplikationer

    Matlab� in Quality Assurance Sciences

    AvLeonid Burstein

    Inbunden, Engelska, 2015

    1 722 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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.



    • 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

    Produktinformation

    • Utgivningsdatum:2015-01-30
    • Mått:156 x 234 x undefined mm
    • Vikt:550 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:264
    • Förlag:Elsevier Science
    • ISBN:9780857094872

    Utforska kategorier

    • Affärsapplikationer inom Data och IT
    • Maskinteknik och material inom Naturvetenskap och teknik

    Mer om författaren

    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.

    Innehållsförteckning

    • DedicationList of figures and tablesPrefaceAbout the author1: Introduction AbstractMATLAB® and other softwareThe purpose and principal audience for this bookAbout the topicsAbout chapter design and questions for self-checkingThe MATLAB® versionsOrder of presentation2: Basics Abstract2.1 Starting with MATLAB® software2.2 Vectors, matrices, and arrays2.3 Flow control2.4 Questions for self-checking2.5 Answers to selected questions3: MATLAB® graphics Abstract3.1 Generation of XY plots3.2 Generation of XYZ plots3.3 Specialized two- and three-dimensional plots3.4 Application examples3.5 Questions for self-checking3.6 Answers to selected questions4: Commands for probability distributions, random numbers, and special graphs Abstract4.1 Density, cumulative, and inverse cumulative functions for probability distributions4.2 Command for random number generation4.3 Supplementary commands for random numbers and probability distributions4.4 Application examples4.5 Specialized commands for graphical representation4.6 Application examples4.7 Questions for self-checking4.8 Answers to selected questions5: Script, function files, and some useful MATLAB® functions Abstract5.1 Script file5.2 Functions and function files5.3 Some useful MATLAB® functions5.4 Application examples5.5 Questions for self-checking5.6 Answers to selected questions6: Hypothesis tests Abstract6.1 Hypothesis testing outlines6.2 The t-test with the ttest command6.3 Wilcoxon rank sum test6.4 Sample size and power of test6.5 Supplementary commands for the hypothesis tests6.6 Application examples6.7 Questions for self-checking6.8 Answers to selected questions7: Ordinary differential equations and tools for their solution Abstract7.1 The ODE solvers for solving ordinary differential equations7.2 Numerical methods and the ODE solvers7.3 The ODE solver command forms and steps for their solution7.4 Additional forms of the ODE solver commands7.5 Application examples7.6 Questions for self-checking7.7 Answers to selected questionsAppendix: MATLAB® characters, operators, and commandsIndex