Evaluating Measurement Accuracy [electronic resource] : A Practical Approach /
Rabinovich, Semyon G.author.
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.
Description based upon print version of record.
Includes bibliographical references and index.
General Concepts in the Theory of Measurements -- Measuring Instruments and Their Properties -- Statistical Methods for Experimental Data Processing -- Direct Measurements -- Indirect Measurements -- Combined and Simultaneous Measurements -- Combining the Results of Measurements -- Examples of Measurements and Measurement Data Processing -- Conclusion -- Erratum.
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.
Physical measurements.
Measurement   .
Materials science.
Quality control.
Reliability.
Industrial safety.
Measurement Science and Instrumentation.
Characterization and Evaluation of Materials.
Quality Control, Reliability, Safety and Risk.