Evaluating Measurement Accuracy

Beschreibung

The goal of Evaluating Measurement Accuracy: A Practical Approach is to present methods for estimating the accuracy of measurements performed in industry, trade, and scientific research. Although multiple measurements are the focus of current theory, single measurements are the ones most commonly used. This book answers fundamental questions not addressed by present theory, such as how to discover the complete uncertainty of a measurement result.

In developing a general theory of processing experimental data, this book, for the first time, presents the postulates of the theory of measurements. It introduces several new terms and definitions about the relationship between the accuracy of measuring instruments and measurements utilizing these instruments. It also offers well-grounded and practical methods for combining the components of measurement inaccuracy.

From developing the theory of indirect measurements to proposing new methods of reduction in place of the traditional ones, this work encompasses the full range of measurement data processing. It includes many solid examples that exemplify typical problems encountered in measurement practice, from general theory to practical applications. As a result, Evaluating Measurement Accuracy serves as an inclusive reference work for data processing of all types of measurements: single and multiple, dependent and independent indirect, combined, and simultaneous. It is intended as a working tool for experimental scientists and engineers of all disciplines who work with instrumentation. It is also a good tool for undergraduate and graduate natural science and engineering students and for technicians performing complex measurements in industry.

Aimed at anyone concerned with measurements in science or technology, the material here reflects the latest developments in metrology and offers new results, yet is written in a style accessible to a range of readers from meteorologists to engineers.

"Evaluating Measurement Accuracy" is intended for anyone who is concerned with measurements in any field of science or technology. It reflects the latest developments in metrology and offers new results, but is designed to be accessible to readers at different levels: meteorologists, engineers and experimental scientists who use measurements as tools in their professions, graduate and undergraduate students in the natural sciences and engineering, and technicians performing complex measurements in industry, quality control, and trade.

The material of the book is presented from the practical perspective and offers solutions and recommendations for problems that arise in conducting real-life measurements. This inclusion is a notable and unique aspect of this title as complex measurements done in industry and trade are often neglected in metrological literature, leaving the practitioners of these measurements to devise their own ad-hoc techniques.

The only comprehensive reference for measurement data processing

Proposes methods for including the effects of the instruments metrological characteristics in the evaluation of the accuracy of measurements

Brings the analysis of the problems of measurement data processing to the level of practical recommendations easily applied by practitioners

Emphasizes the universality of the presented methods by illustrating them through examples from diverse scientific fields

Autor*in

Semyon G. Rabinovich

Themen in »Evaluating Measurement Accuracy«

Measurement error estimation Measurement uncertainty Monte Carlo method Normal STATIS accuracy limits measurements calibration control errors measurement book measurement metrology metrology fundamentals book practical data processing quality

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From the reviews:

“This book covers a range of topics related to the characterization and treatment of different types of errors in measurement and instrument calibration. … the author highlights the differences, and details the reasoning behind the alternate views so the researcher or practitioner can easily discern when these arguments are valid. The reader will be challenged, will undoubtedly learn new methods for the treatment of data and measurement errors, and will gain a deeper understanding of the subject. Summing Up: Recommended. Graduate students through professionals/practitioners.” (J. D. Drescher, Choice, Vol. 48 (1), September, 2010)

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