Editorial Review:
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.
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Customer Reviews
Average Customer Rating: 
Measurement Theory for Engineers: Review. 2003-11-23
This book is devoted to industrial applications of Statistical Measurement Theory. The book deals with general problems of measurements and not with the technical aspects of measuring specific physical quantities.
Each chapter is followed by exercises, most with solutions and answers. The text assumes that the reader is familiar with standard courses of Calculus, Probability Theory and Statistics.
I have used the text of Prof. Gertsbakh for a part of undergraduate course "Statistical Quality Control" and students' graduation projects in Negev Academic College of Engineering (Beer-Sheva, Israel), and I am really pleased with the book, its contents and style.
Unfortunately, it seems to be a technical mistake in the text, on the page 62: the formula (4.2.1) is deleted, and it must read Xij=ì+Ai+åij. Dr. Ilia B. Frenkel
Industrial Engineering and Management Department
Negev Academic College of Engineering (NACE)
Beer Sheva, Israel
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