Part 1 - Facts and Fallacies

Part 1 addresses current facts and fictions relating to uncertainty analysis, risk analysis, interval analysis and SPC for measurement processes.

Part 2 - Estimating Measurement Uncertainty

This part of the handbook discusses various motivations for estimating measurement uncertainty.  Methods for estimating uncertainty are described and a systematic procedure for analyzing measurement uncertainty is presented.  Part 2 concludes with a discussion of the various uses for uncertainty estimates.   Subtopics are listed below.

Why Estimate Uncertainty?

Uncertainty Analysis Fundamentals

Estimating Uncertainty

The General Uncertainty Analysis Process

   Expanded Uncertainty

   Reporting Uncertainty

   Using Uncertainty Estimates

Part 3 - Analyzing Measurement Decision Risk

Part 3 of the handbook discusses how we use uncertainty estimates, along with other information to develop test and calibration quality metrics that can be useful in making decisions.  Chief among these metrics are false accept and false reject risk. Subtopics are listed below.

Preliminaries

Probability Relations

Equivalent Accuracy Ratios

  Computing Probabilities

  Including Process Uncertainties

  Using Guardband Limits

Periodic Calibration

The Goal of Interval Analysis

Reliability Modeling

   Establishing or Adjusting Intervals

   Statistical Interval Testing

Part 5 - Controlling Measurement Processes

Part 5 of the handbook discusses the use of statistical process control (SPC) to control measurement processes.

Preliminaries

Measurement Process SPC

  Control Charts