Measurement Theory for Engineers

Author:   Ilya Gertsbakh
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2003 ed.
ISBN:  

9783540000815


Pages:   150
Publication Date:   21 May 2003
Format:   Hardback
Availability:   Out of print, replaced by POD   Availability explained
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Measurement Theory for Engineers


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Overview

The emphasis of this textbook is on industrial applications of Statistical Measurement Theory. It deals with the principal issues of measurement theory, is concise and intelligibly written, and to a wide extent self-contained. Difficult theoretical issues are separated from the mainstream presentation. Each topic starts with an informal introduction followed by an example, the rigorous problem formulation, solution method, and a detailed numerical solution. Each chapter concludes with a set of exercises of increasing difficulty, mostly with solutions. The book is meant as a text for graduate students and a reference for researchers and industrial experts specializing in measurement and measurement data analysis for quality control, quality engineering and industrial process improvement using statistical methods. Knowledge of calculus and fundamental probability and statistics is required for the understanding of its contents.

Full Product Details

Author:   Ilya Gertsbakh
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2003 ed.
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.930kg
ISBN:  

9783540000815


ISBN 10:   354000081
Pages:   150
Publication Date:   21 May 2003
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

Table of Contents

1 Introduction.- 2 Mean and Standard Deviation.- 3 Comparing Means and Variances.- 4 Sources of Uncertainty: Process and Measurement Variability.- 5 Measurement Uncertainty: Error Propagation Formula.- 6 Calibration of Measurement Instruments.- 7 Collaborative Studies.- 8 Measurements in Special Circumstances.- Answers and Solutions to Exercises.- Appendix A: Normal Distribution.- Appendix B: Quantiles of the Chi-Square Distribution.- Appendix C: Critical Values of the F—distribution.- References.

Reviews

From the reviews: This textbook deals with the principal issues of measurement theory. Each topic starts with an informal introduction followed by an example, the rigorous problem formulation, solution method, and a detailed numerical solution. ... This book is intended as a text for graduate students and a reference for researchers and industrial experts specializing in measurement data analysis for quality control and industrial process improvement. (Ivan Krivy, Zentralblatt MATH, Vol. 1018, 2003)


From the reviews: This textbook deals with the principal issues of measurement theory. Each topic starts with an informal introduction followed by an example, the rigorous problem formulation, solution method, and a detailed numerical solution. ! This book is intended as a text for graduate students and a reference for researchers and industrial experts specializing in measurement data analysis for quality control and industrial process improvement. (Ivan Krivy, Zentralblatt MATH, Vol. 1018, 2003)


From the reviews: This textbook deals with the principal issues of measurement theory. Each topic starts with an informal introduction followed by an example, the rigorous problem formulation, solution method, and a detailed numerical solution. ! This book is intended as a text for graduate students and a reference for researchers and industrial experts specializing in measurement data analysis for quality control and industrial process improvement. (Ivan Krivu, Zentralblatt MATH, Vol. 1018, 2003)


From the reviews: <p> This textbook deals with the principal issues of measurement theory. Each topic starts with an informal introduction followed by an example, the rigorous problem formulation, solution method, and a detailed numerical solution. a ] This book is intended as a text for graduate students and a reference for researchers and industrial experts specializing in measurement data analysis for quality control and industrial process improvement. (Ivan KrivA1/2, Zentralblatt MATH, Vol. 1018, 2003)


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