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ASTM D 6299 : 2018

Superseded
Superseded

A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.

Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance
Available format(s)

Hardcopy , PDF

Superseded date

10-09-2020

Language(s)

English

Published date

01-04-2018

1.1This 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.

1.2This practice is applicable to stable analytical measurement systems that produce results on a continuous numerical scale.

1.3This practice is applicable to laboratory test methods.

1.4This practice is applicable to validated process stream analyzers.

1.5This 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 can be laboratory test methods or validated process stream analyzers.

1.6This 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.

1.7This 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.

Committee
D 02
DocumentType
Standard Practice
Pages
0
PublisherName
American Society for Testing and Materials
Status
Superseded
Supersedes

ASTM D 6300 : 2014 : REV A : EDT 1 Standard Practice for Determination of Precision and Bias Data for Use in Test Methods for Petroleum Products and Lubricants
ASTM D 6708 : 2018 Standard Practice for Statistical Assessment and Improvement of Expected Agreement Between Two Test Methods that Purport to Measure the Same Property of a Material
ASTM D 6708 : 2015 Standard Practice for Statistical Assessment and Improvement of Expected Agreement Between Two Test Methods that Purport to Measure the Same Property of a Material
ASTM D 5191 : 2018 : REV A Standard Test Method for Vapor Pressure of Petroleum Products and Liquid Fuels (Mini Method)
ASTM D 3764 : 2015 : EDT 1 Standard Practice for Validation of the Performance of Process Stream Analyzer Systems
ASTM D 6300 : 2016 Standard Practice for Determination of Precision and Bias Data for Use in Test Methods for Petroleum Products and Lubricants
ASTM D 6708 : 2016 : REV A Standard Practice for Statistical Assessment and Improvement of Expected Agreement Between Two Test Methods that Purport to Measure the Same Property of a Material
ASTM D 5191 : 1999 Standard Test Method for Vapor Pressure of Petroleum Products (Mini Method)
ASTM D 6708 : 2001 Standard Practice for Statistical Assessment and Improvement of the Expected Agreement Between Two Test Methods that Purport to Measure the Same Property of a Material
ASTM D 6300 : 2015 Standard Practice for Determination of Precision and Bias Data for Use in Test Methods for Petroleum Products and Lubricants
ASTM D 7372 : 2007 Standard Guide for Analysis and Interpretation of Proficiency Test Program Results
ASTM D 3764 : 2015 Standard Practice for Validation of the Performance of Process Stream Analyzer Systems
ASTM D 6708 : 2013 : EDT 1 Standard Practice for Statistical Assessment and Improvement of Expected Agreement Between Two Test Methods that Purport to Measure the Same Property of a Material
ASTM D 6708 : 2016 Standard Practice for Statistical Assessment and Improvement of Expected Agreement Between Two Test Methods that Purport to Measure the Same Property of a Material
ASTM D 6792 : 2002 Standard Guide for A Quality System in Petroleum Products and Lubricants Testing Laboratories
ASTM D 7372 : 2017 Standard Guide for Analysis and Interpretation of Proficiency Test Program Results

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