Chapter 1 An Introduction to Data Modeling Principles in Metrology and Testing

Chapter 2 Probability in Metrology

Chapter 3 Three Statistical Paradigms for the Assessment and Interpretation of Measurement Uncertainty

Chapter 4 Interval Computations and Interval-Related Statistical Techniques: Tools for Estimating Uncertainty of the Results of Data Processing and Indirect Measurements

Chapter 5 Parameter Estimation Based on Least Squares Methods

Chapter 6 Frequency and Time—Frequency Domain Analysis Tools in Measurement

Chapter 7 Data Fusion, Decision-Making, and Risk Analysis: Mathematical Tools and Techniques

Chapter 8 Comparing Results of Chemical Measurements: Some Basic Questions from Practice

Chapter 9 Modelling of Measurements, System Theory and Uncertainty Evaluation

Chapter 10 Approaches to Data Assessment and Uncertainty Estimation in Testing

Chapter 11 Monte Carlo Modeling of Randomness

Chapter 12 Software Validation and Preventive Software Quality Assurance for Metrology

Chapter 13 Virtual Istrumentation