"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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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)
Preface
Chapter 1: General Concepts in the Theory of Measurement
Chapter 2: Measuring Instruments and Their Properties
2.1. Types of Measuring Instruments
2.2. Metrological Characteristics of Measuring Instruments
2.3. Rating of the Errors of Measuring Instruments
2.4. Dynamic Characteristics of Measuring Instruments
2.5. Calibration and Verification of Measuring Instruments
2.6. Designing a Calibration Scheme
2.7. Statistical Analysis of Measuring Instrument Errors
Chapter 3: Statistical Methods for Experimental Data Processing
3.1. Methods for Describing Random Quantities
3.2. Requirements for Statistical Estimates
3.3. Evaluation of the Parameters of the Normal Distribution
3.4. Elimination of the Outlying Data
3.5. Construction of Confidence Intervals
3.6. Testing Hypotheses about the Form of the Distribution Function
3.7. Testing for Homogeneity of Samples
3.8. Robust Estimations
3.9. Application of the Bayes’ Theorem
Chapter 4: Direct Measurements
4.1. Relation between Single and Multiple Measurements
4.2. Classification of Elementary Errors
4.3. Modeling of Elementary Errors
4.4. Composition of Uniform Distributions
4.5. Methods of Precise Measurements
4.6. Accuracy of Single Measurements Using Measuring Instruments under Reference Conditions
4.7. Accuracy of Single Measurements Using Measuring Instruments under Rated Conditions
4.8. Accuracy of Multiple Measurements
4.9. Comparison of Different Methods for Combining Systematic and Random Errors
Chapter 5: Indirect Measurements
5.1. Terminology and Classification
5.2. Correlation Coefficient and its Calculation
5.3. The Traditional Method of Experimental Data Processing
5.4. Merits and Shortcomings of the Traditional Method
5.5. The Method of Reduction
5.6. The Method of Transformation
5.7. Total Uncertainty of Indirect Measurements
5.8. Accuracy of Single Indirect Measurements
5.9. Accuracy of Single Measurements with a Chain of Instruments
5.10. Application of the Monte Carlo Method
Chapter 6: Combined and Simultaneous Measurements
6.1. General Remarks about the Method of Least Squares
6.2. Measurements with Linear Equally Accurate Conditional Equations
6.3. Measurements with Linear Unequally Accurate Conditional Equations
6.4. Linearization of Nonlinear Conditional Equations
6.5. Examples of the Applications of the Method of Least Squares
6.6. General Remarks on Determination of the Parameters in Formulas from
Empirical Data
6.7. Construction of Transfer Functions of Measuring Transducers
Chapter 7: Combining the Results of Measurements
7.1. Introductory Remarks
7.2. Theoretical Principles
7.3. Effect of the Error of the Weights on the Error of the Weighted Mean
7.4. Combining the Results of Measurements with Predominately Random Errors
7.5. Combining the Results of Measurements Containing both Systematic and
Random Errors
7.6. Combining the Results of Single Measurements
Chapter 8: Examples of Measurements and Measurement Data Processing
8.1. Voltage Measurement with a Pointed-Type Instrument
8.1.1. A priory Estimation of the Inaccuracy of a Measurement
8.1.2. Universal Estimation of the Inaccuracy of a Measurement
8.1.3. Individual Estimation of the Inaccuracy of a Measurement
8.2. Voltage Measurement with a Potentiometer and a Voltage Divider
8.3. Comparison of Mass Measures
8.4. Measurement of Power at High Frequency
8.5. An Indirect Measurement of the Electrical Resistance of a Resistor
8.5.1. Application of the Traditional Method
8.5.2. Application of the Method of Reduction
8.6. Measurement of the Density of a Solid Body
8.6.1. Application of the Traditional Method
8.6.2. Application of the Method of Transformation
8.7. Measurement of Ionization Current by the Compensation Method
8.8. Measurement of the Activity of Nuclides in a Source
Chapter 9: Conclusion
9.1. Measurement Data Processing: Past, Present, and Next Steps
9.2. Remarks on the International Vocabulary of Metrology (VIM)
9.3. Drawbacks of the "Guide to the Expression of the Uncertainty in
Measurement"
Appendix
Glossary
References
List of Abbreviations
Index
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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