GSO ASTM D6299:2024
ASTM D6299:23a
								
									
									Gulf Standard
								
								
								
									 
									Current Edition
									
								
								
									·
									Approved on
									25 April 2024
								
							
							Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance
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										GSO ASTM D6299:2024 Scope
									1.1 This practice covers information for the design and
operation of a program to monitor and control ongoing stability
and precision and bias performance of selected analytical
measurement systems using a collection of generally accepted
statistical quality control (SQC) procedures and tools.
NOTE 1—A complete list of criteria for selecting measurement systems
to which this practice should be applied and for determining the frequency
at which it should be applied is beyond the scope of this practice.
However, some factors to be considered include (1) frequency of use of
the analytical measurement system, (2) criticality of the parameter being
measured, (3) system stability and precision performance based on
historical data, (4) business economics, and (5) regulatory, contractual, or
test method requirements.
1.2 This practice is applicable to stable analytical measurement systems that produce results on a continuous numerical
scale.
1.3 This practice is applicable to laboratory test methods.
1.4 This practice is applicable to validated process stream
analyzers.
1.5 This practice is applicable to monitoring the differences
between two analytical measurement systems that purport to
measure the same property provided that both systems have
been assessed in accordance with the statistical methodology in
Practice D6708 and the appropriate bias applied.
NOTE 2—For validation of univariate process stream analyzers, see also
Practice D3764.
NOTE 3—One or both of the analytical systems in 1.5 may be laboratory
test methods or validated process stream analyzers.
1.6 This practice assumes that the normal (Gaussian) model
is adequate for the description and prediction of measurement
system behavior when it is in a state of statistical control.
NOTE 4—For non-Gaussian processes, transformations of test results
may permit proper application of these tools. Consult a statistician for
further guidance and information.
1.7 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the
Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical
Barriers to Trade (TBT) Committee.
									
								
							
						
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