a) The general methods for evaluating and expressing uncertainty specified in this specification are applicable to measurement fields of various accuracy levels, such as: 1) The establishment and comparison of national measurement benchmarks and measurement standards at all levels; 2) The determination of reference materials and the release of standard reference data; 3) The preparation of technical documents such as measurement methods, verification procedures, verification coefficient tables, calibration specifications, etc.; 4) Measurement in measurement qualification accreditation, measurement confirmation, quality certification and laboratory accreditation Statement of results and measurement capabilities; 5) Calibration, verification and other measurement services of measuring instruments; 6) Measurement in scientific research, engineering, trade settlement, medical and health, safety protection, environmental monitoring, resource protection and other fields. b) This specification mainly relates to the measurement uncertainty of the estimated value of the measurand that is clearly defined and can be characterized by a unique value. As for the measurand being presented as a distribution of a series of values or depending on one or more parameters (for example, taking time as a parameter), the description of the measurand should be a set of quantities, and its distribution and interrelationships should be given. c) This specification also applies to the evaluation and expression of uncertainty in the design and theoretical analysis of experiments, measurement methods, measuring devices, complex components and systems. d) This specification is mainly applicable to the following conditions: 1) It can be assumed that the probability distribution of the input quantity is symmetrical; 2) It can be assumed that the probability distribution of the output quantity is approximately a normal distribution or t distribution; 3) The measurement model is a linear model and can A model that is converted to linear or can be approximated by a linear model. When the above applicable conditions cannot be met at the same time, the Monte Carlo method (MCM for short) can be considered to evaluate the measurement uncertainty, that is, the probability distribution propagation method is used. For details on the use of MCM, please refer to JJF 1059.2-2012 "Evaluation of Measurement Uncertainty by Monte Carlo Method". When the results evaluated using the method of this specification are verified by the Monte Carlo method, the measurement uncertainty can still be evaluated using the method of this specification.
JJF 1059.1-2012 Referenced Document
GB 3101-1993 Quantities and units--General principles
GB/T 4883-2008 Statistical interpretation of data.Detection and treatment of outliers in the normal sample
ISO 3534-1:2006 Statistics - Vocabulary and symbols - Part 1: General statistical terms and terms used in probability
ISO/IEC Guide 98-3:2008 Uncertainty of measurement — Part 3: Guide to the expression of uncertainty in measurement (GUM:1995)
JJF 1001-2011 General Terms in Metrology and Their Definitions
JJF 1059.1-2012 history
2012JJF 1059.1-2012 Evaluation and Expression of Uncertainty in Measurement
1999JJF 1059-1999 Evaluation and Expression of Uncertainty in Measurement