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| Preface | |
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| Metrology, its role in today's world | |
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| The convention du Metre and SI units | |
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| Metrology in high-technology manufacturing industries | |
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| The need for accuracy rather than simply reproducibility | |
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| Metrology in human health and in environmental protection | |
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| Metrology and fundamental physics | |
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| The role of national and regional metrology organizations | |
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| The cost of maintaining a national measurement system | |
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| Final remarks - a personal view | |
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| Basic concepts and definitions | |
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| An example: tolerance checking | |
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| Values and units of measurement | |
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| Calibration and traceability | |
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| Measurement uncertainty | |
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| Measurement error, accuracy and precision | |
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| The measurement model | |
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| Some additional remarks | |
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| Evaluating the standard uncertainty | |
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| Quantities as random variables | |
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| Standard, mutual and expanded uncertainties | |
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| Some useful pdfs | |
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| The law of propagation of uncertainties (LPU) | |
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| The special case of only one input quantity | |
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| Monte Carlo methods | |
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| Imported primary quantities | |
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| Directly measured primary quantities: type A analysis | |
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| Digital display devices | |
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| Correction quantities: systematic effects | |
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| Correction quantities: calibration | |
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| Evaluating the expanded uncertainty | |
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| Coverage factor and coverage probability | |
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| Coverage intervals and coverage uncertainties | |
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| The consumer's and producer's risks | |
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| The acceptance interval: guardbanding | |
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| Type A analysis revisited | |
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| Quantities evaluated from a measurement model | |
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| Standard versus expanded uncertainty | |
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| The joint treatment of several measurands | |
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| Vectors and matrices | |
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| The generalized law of propagation of uncertainties (GLPU) | |
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| The input uncertainty matrix | |
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| Applications of the generalized law of propagation | |
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| Least-squares adjustment | |
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| Curve-fitting | |
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| Consistency analysis | |
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| Applications of least-squares adjustment | |
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| Bayesian inference | |
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| Bayes' theorem (BT) | |
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| BT in terms of probability density functions | |
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| Example | |
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| Non-informative priors | |
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| Repeated measurements | |
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| The principle of maximum entropy (PME) | |
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| Evaluation of the producer's and consumer's risks | |
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| The model prior | |
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| Bayesian analysis of the model Z = M(X, Y) | |
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| Probability tables | |
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| Glossary | |
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| References | |
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| Index to chapters 2-6 | |
