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ASTM D 6708 : 2019

Superseded
Superseded

A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.

View Superseded by
superseded

A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.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 Statistical Assessment and Improvement of Expected Agreement Between Two Test Methods that Purport to Measure the Same Property of a Material
Available format(s)

Hardcopy , PDF

Superseded date

26-11-2019

Language(s)

English

Published date

01-05-2019

This practice covers statistical methodology for assessing the expected agreement between two standard test methods that purport to measure the same property of a material, and deciding if a simple linear bias correction can further improve the expected agreement.

1.1This practice covers statistical methodology for assessing the expected agreement between two standard test methods that purport to measure the same property of a material, and deciding if a simple linear bias correction can further improve the expected agreement. It is intended for use with results collected from an interlaboratory study meeting the requirement of Practice D6300 or equivalent (for example, ISO 4259). The interlaboratory study must be conducted on at least ten materials that span the intersecting scopes of the test methods, and results must be obtained from at least six laboratories using each method.

1.2The statistical methodology is based on the premise that a bias correction will not be needed. In the absence of strong statistical evidence that a bias correction would result in better agreement between the two methods, a bias correction is not made. If a bias correction is required, then the parsimony principle is followed whereby a simple correction is to be favored over a more complex one.

Note 1:Failure to adhere to the parsimony principle generally results in models that are over-fitted and do not perform well in practice.

1.3The bias corrections of this practice are limited to a constant correction, proportional correction, or a linear (proportional + constant) correction.

1.4The bias-correction methods of this practice are method symmetric, in the sense that equivalent corrections are obtained regardless of which method is bias-corrected to match the other.

1.5A methodology is presented for establishing the numerical limit (designated by this practice as the between methods reproducibility) that would be exceeded about 5 % of the time (one case in 20 in the long run) for the difference between two results where each result is obtained by a different operator using different apparatus and each applying one of the two methods X and Y on identical material, where one of the methods has been appropriately bias-corrected in accordance with this practice, in the normal and correct operation of both test methods.

Note 2:In earlier versions of this standard practice, the term “cross-method reproducibility” was used in place of the term “between methods reproducibility.” The change was made because the “between methods reproducibility” term is more intuitive and less confusing. It is important to note that these two terms are synonymous and interchangeable with one another, especially in cases where the “cross-method reproducibility” term was subsequently referenced by name in methods where a D6708 assessment was performed, before the change in terminology in this standard practice was adopted.

Note 3:Users are cautioned against applying the between methods reproducibility as calculated from this practice to materials that are significantly different in composition from those actually studied, as the ability of this practice to detect and address sample-specific biases (see 6.7) is dependent on the materials selected for the interlaboratory study. When sample-specific biases are present, the types and ranges of samples may need to be expanded significantly from the minimum of ten as specified in this practice in order to obtain a more comprehensive and reliable between methods reproducibility that adequately cover the range of sample-specific biases for different types of materials.

1.6This practice is intended for test methods which measure quantitative (numerical) properties of petroleum or petroleum products.

1.7The statistical methodology outlined in this practice is also applicable for assessing the expected agreement between any two test methods that purport to measure the same property of a material, provided the results are obtained on the same comparison sample set, the standard error associated with each test result is known, and the sample set design meets the requirements of this practice, in particular that the statistical degree of freedom associated with all standard errors are 30 or greater.

1.8This 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
18
PublisherName
American Society for Testing and Materials
Status
Superseded
SupersededBy
Supersedes

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ASTM D 6300 : 2019 Standard Practice for Determination of Precision and Bias Data for Use in Test Methods for Petroleum Products and Lubricants
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ASTM D 5580 : 2002 : R2007 Standard Test Method for Determination of Benzene, Toluene, Ethylbenzene, <span class="italic"> p/m</span>-Xylene, <span class="italic">o</span>-Xylene, C<sub>9</sub> and Heavier Aromatics, and Total Aromatics in Finished Gasoline by Gas Chromatography
ASTM D 6299 : 2000 Standard Practice for Applying Statistical Quality Assurance Techniques to Evaluate Analytical Measurement System Performance
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ASTM D 6299 : 2016 Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance
ASTM D 7372 : 2012 Standard Guide for Analysis and Interpretation of Proficiency Test Program Results
ASTM D 6299 : 2000 : REV A Standard Practice for Applying Statistical Quality Assurance Techniques to Evaluate Analytical Measurement System Performance
ASTM D 6300 : 2006 Standard Practice for Determination of Precision and Bias Data for Use in Test Methods for Petroleum Products and Lubricants
ASTM D 6300 : 2014 : REV A Standard Practice for Determination of Precision and Bias Data for Use in Test Methods for Petroleum Products and Lubricants
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 6300 : 1999 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 6299 : 2008 Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance
ASTM D 6300 : 2013 : REV A Standard Practice for Determination of Precision and Bias Data for Use in Test Methods for Petroleum Products and Lubricants
ASTM D 6299 : 2002 : EDT 1 Standard Practice for Applying Statistical Quality Assurance Techniques to Evaluate Analytical Measurement System Performance
ASTM D 6300 : 2008 Standard Practice for Determination of Precision and Bias Data for Use in Test Methods for Petroleum Products and Lubricants
ASTM D 6300 : 2003 Standard Practice for Determination of Precision and Bias Data for Use in Test Methods for Petroleum Products and Lubricants
ASTM D 5580 : 2015 Standard Test Method for Determination of Benzene, Toluene, Ethylbenzene, <emph type="ital"> p/m</emph>-Xylene, <emph type="ital">o</emph>-Xylene, C<inf>9</inf> and Heavier Aromatics, and Total Aromatics in Finished Gasoline by Gas Chromatography
ASTM D 6300 : 2007 Standard Practice for Determination of Precision and Bias Data for Use in Test Methods for Petroleum Products and Lubricants
ASTM D 6300 : 2002 Standard Practice for Determination of Precision and Bias Data for Use in Test Methods for Petroleum Products and Lubricants
ASTM D 5769 : 2004 Standard Test Method for Determination of Benzene, Toluene, and Total Aromatics in Finished Gasolines by Gas Chromatography/Mass Spectrometry
ASTM D 6300 : 2016 : REV A Standard Practice for Determination of Precision and Bias Data for Use in Test Methods for Petroleum Products and Lubricants
ASTM D 6299 : 2007 Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance
ASTM D 6299 : 2007 : EDT 1 Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance
ASTM D 7372 : 2017 Standard Guide for Analysis and Interpretation of Proficiency Test Program Results
ASTM D 6299 : 2017 Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance
ASTM D 6300 : 2014 Standard Practice for Determination of Precision and Bias Data for Use in Test Methods for Petroleum Products and Lubricants
ASTM D 5769 : 2015 Standard Test Method for Determination of Benzene, Toluene, and Total Aromatics in Finished Gasolines by Gas Chromatography/Mass Spectrometry
ASTM D 6299 : 2002 Standard Practice for Applying Statistical Quality Assurance Techniques to Evaluate Analytical Measurement System Performance
ASTM D 5580 : 2013 Standard Test Method for Determination of Benzene, Toluene, Ethylbenzene, <emph type="ital"> p/m</emph>-Xylene, <emph type="ital">o</emph>-Xylene, C<inf>9</inf> and Heavier Aromatics, and Total Aromatics in Finished Gasoline by Gas Chromatography

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