Quality Assured Measurement: Unification across Social and Physical Sciences

Chapter 1: Measurement challenge: specification and design

1.1  Processes of production and measurement

1.2  Measurement, assessment, opinions - from quantitative observations to categorization

1.3  Opening the quality-assurance loop

1.4  Specification of measurement problem

1.5  Case study: Fit-for-purpose measurement specification

Chapter 2: Measurement method and system development

2.1  Design of experiments

2.2  Specification of demands on a measurement system

2.3  Choice and development of a measurement method

2.4  Measurement System Analysis

2.5  Evaluation and validation of a measurement method

2.6  Verification

2.7  Case studies

Chapter 3: Ensuring traceability

3.1  Quantity calculus

3.2  Units and symmetry, conservation laws and minimum entropy

3.3  Calibration, accuracy and true values

3.4  Politics and philosophy of metrology

3.5  Quantitative and qualitative scales

3.6  New and future measurement units

Chapter 4: Measurement

4.1  Performing measurements

4.2  Metrological confirmation

4.3  Case study: Example of measurements

Chapter 5: Measurement report and presentation

5.1  Presentation of measurement results

5.2  Modelling measurement principle

5.3  Case studies

Chapter 6: Decisions about product

6.1  Use of measurement results and conformity assessment

6.2  Closing the quality-assurance loop

6.3  Optimised uncertainties, impact and measurement costs, pragmatic extensions of significance testing

6.4  Risks of incorrect decisions and relation to measurement uncertainty

6.5  Qualitative measurement and entropy

6.6  Case studies