Measurement Errors and Uncertainties

Third edition of best selling practical reference for scientists and engineers on how to estimate errors and uncertainty of measurements in both experimental research and industry. Useful for students and theorists in metrology,as well as applied physicists, mechancial and electrical engineers, this new edition expands the coverage on indirect measurement and includes the most current research.

A new result in the theory of indirect measurements A new section describing relevant modern trends in probability theory A new Conclusions chapter, describing an important gap that still exists in Metrology and possible approaches to fill this gap A section discussing topics in International Vocabulary of Basic and General Terms in Metrology A section on the Guide to the Expression of Uncertainty in Measurement Includes supplementary material: sn.pub/extras

Autorentext

Rabinovich was head of the Laboratory of Theoretical Metrology at the All-Union State Research Institute of Metrology in the former Soviet Union. His theory of galvanometrical self-balancing instruments led to the creation of numerous new measuring devices.

Klappentext

Measurement Errors and Uncertainties addresses the most important problems that physicists and engineers encounter when estimating errors and uncertainty. Building from the fundamentals of measurement theory, the author develops the theory of accuracy of measurements and offers a wealth of practical recommendations and examples of applications.

This new edition covers a wide range of subjects, including:

• Basic concepts of metrology

• Measuring instruments characterization, standardization and calibration

  -Estimation of errors and uncertainty of single and multiple measurements

• Modern probability-based methods of estimating measurement uncertainty

  With this new edition, the author completes the development of the new theory of indirect measurements. This theory provides more accurate and efficient methods for processing indirect measurement data. It eliminates the need to calculate the correlation coefficient - a stumbling block in measurement data processing - and offers for the first time a way to obtain the confidence intervals. In other words, this new theory provides means to calculate a well-grounded estimate of measurement uncertainty for this complex but widely used type of measurements.

  Acclaim for previous editions:

  "Extremely useful to metrologists and to anyone interested in measurement errors"
  (MEASUREMENT SCIENCE AND TECHNOLOGY)

  "I suggest that every technical library should own a copy of Measurement Errors. Serious experimentalists whose interests are broad will surely want to examine the book with the intent of buying it".
  (Applied Mechanics Review)

  Inhalt
  General Information About Measurements.- Measuring Instruments and Their Properties.- Prerequisites for the Analysis of the Inaccuracy of Measurements and for Synthesis of Their Components.- Statistical Methods for Experimental Data Processing.- Direct Measurements.- Indirect Measurements.- Examples of Measurements and Measurement Data Processing.- Combined Measurements.- Combining the Results of Measurements.- Calculation of the Errors of Measuring Instruments.- Problems in the Theory of Calibration.- Conclusion.