PrefaceChapter 1: General Concepts in the Theory of MeasurementBasic Concepts and TermsThe Basic Metrological ProblemsNew Forms of International Cooperation in MetrologyPostulates of the Theory of MeasurementsClassification of MeasurementsClassification of Measurement ErrorsGeneral Approach to Evaluation of Measurement InaccuracyPresentation of Measurement ResultsChapter 2: Measuring Instruments and Their Properties2.1. Types of Measuring Instruments2.2. Metrological Characteristics of Measuring Instruments2.3. Rating of the Errors of Measuring Instruments2.4.
Dynamic Characteristics of Measuring Instruments2.5. Calibration and Verification of Measuring Instruments2.6. Designing a Calibration Scheme2.7. Statistical Analysis of Measuring Instrument Errors Chapter 3: Statistical Methods for Experimental Data Processing3.1.
Methods for Describing Random Quantities3.2. Requirements for Statistical Estimates3.3. Evaluation of the Parameters of the Normal Distribution3.4. Elimination of the Outlying Data3.5.
Construction of Confidence Intervals3.6. Testing Hypotheses about the Form of the Distribution Function3.7. Testing for Homogeneity of Samples3.8. Robust Estimations 3.9.
Application of the Bayes' TheoremChapter 4: Direct Measurements4.1. Relation between Single and Multiple Measurements4.2. Classification of Elementary Errors4.3. Modeling of Elementary Errors4.4.
Composition of Uniform Distributions4.5. Methods of Precise Measurements4.6. Accuracy of Single Measurements Using Measuring Instruments under Reference Conditions4.7. Accuracy of SingleMeasurements Using Measuring Instruments under Rated Conditions4.8.
Accuracy of Multiple Measurements4.9. Comparison of Different Methods for Combining Systematic and Random ErrorsChapter 5: Indirect Measurements5.1. Terminology and Classification5.2. Correlation Coefficient and its Calculation5.3.
The Traditional Method of Experimental Data Processing5.4. Merits and Shortcomings of the Traditional Method5.5. The Method of Reduction5.6. The Method of Transformation5.7.
Total Uncertainty of Indirect Measurements5.8. Accuracy of Single Indirect Measurements5.9. Accuracy of Single Measurements with a Chain of Instruments5.10. Application of the Monte Carlo MethodChapter 6: Combined and Simultaneous Measurements6.1.
General Remarks about the Method of Least Squares6.2. Measurements with Linear Equally Accurate Conditional Equations6.3. Measurements with Linear Unequally Accurate Conditional Equations6.4. Linearization of Nonlinear Conditional Equations6.5.
Examples of the Applications of the Method of Least Squares6.6. General Remarks on Determination of the Parameters in Formulas from Empirical Data6.7. Construction of Transfer Functions of Measuring TransducersChapter 7: Combining the Results of Measurements7.1. Introductory Remarks7.2.
Theoretical Principles7.3. Effect of the Error of the Weights on the Error of the Weighted Mean7.4. Combining the Results of Measurements with Predominately Random Errors7.5. Combining the Results of Measurements Containing both Systematic and Random Errors7.6.
Combining the Results of Single MeasurementsChapter 8: Examples of Measurements and Measurement Data Processing8.1. Voltage Measurement with a Pointed-Type Instrument8.1.1. A priory Estimation of the Inaccuracy of a Me.