GB/T 27407-2010 Quality control in laboratories.Applying statistical quality assurance and control charting techniques to evaluate analytical measurement system performance (English Version)
General Administration of Quality Supervision, Inspection and Quarantine of the People‘s Republic of China
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GB/T 27407-2010
Scope
This International Standard specifies the design and operation of a statistical quality control program for the continuous monitoring of the stability, precision and bias performance of the analytical measurement system under test. This standard applies to stable measurement systems that produce continuous numerical results under the measurement of uniform and stable materials, laboratory test methods, and the monitoring of differences between two measurement systems under the same characteristic measurement after bias correction according to GB/T 27408. This standard is applicable to the description and prediction of normal models under the assumption that the performance of the measurement system is in a state of statistical control.
GB/T 27407-2010 Referenced Document
GB/T 15000.3-2008 Directives for the work of reference materials(3).Reference materials.General and statistical principles for certification
GB/T 15483.1 Proficiency testing by interlaboratory comparisons--Part 1: Development and operation of proficiency testing schemes
GB/T 19000 Quality management systems—Fundamentals and vocabulary*, 2016-12-30 Update
GB/T 27025 General requirements for the competence of testing and calibration laboratories*, 2019-12-10 Update
GB/T 27408 Quality control in laboratories.Evaluating validity of non-standard test method.Practice for a linear relationship
GB/T 3358.2-2009 Statistics.Vocabulary and symbols.Part 2:Applied statistics
GB/T 4889 Statistical interpretation of data-Techniques of estimation and tests relating to means and variances of normal distribution
GB/T 27407-2010 history
2011GB/T 27407-2010 Quality control in laboratories.Applying statistical quality assurance and control charting techniques to evaluate analytical measurement system performance