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Evaluating Measurement Accuracy

A Practical Approach

  • Semyon G.┬áRabinovich

Table of contents

  1. Front Matter
    Pages i-xv
  2. Semyon G. Rabinovich
    Pages 1-29
  3. Semyon G. Rabinovich
    Pages 31-69
  4. Semyon G. Rabinovich
    Pages 71-100
  5. Semyon G. Rabinovich
    Pages 101-139
  6. Semyon G. Rabinovich
    Pages 141-171
  7. Semyon G. Rabinovich
    Pages 173-192
  8. Semyon G. Rabinovich
    Pages 193-208
  9. Semyon G. Rabinovich
    Pages 239-248
  10. Semyon G. Rabinovich
    Pages E1-E2
  11. Back Matter
    Pages 249-271

About this book

Introduction

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.

Keywords

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

Authors and affiliations

  • Semyon G.┬áRabinovich
    • 1
  1. 1.Basking RidgeU.S.A.

Bibliographic information