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Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance
Automaticky přeložený název:
Standardní praxe pro nanášení statistický zajištění kvality a kontrola mapovat techniky hodnotit Analytická měření výkon systému
NORMA vydána dne 1.10.2013
Označení normy: ASTM D6299-13
Poznámka: NEPLATNÁ
Datum vydání normy: 1.10.2013
Kód zboží: NS-34578
Počet stran: 28
Přibližná hmotnost: 84 g (0.19 liber)
Země: Americká technická norma
Kategorie: Technické normy ASTM
Keywords:
ICS Number Code 03.120.30 (Application of statistical methods)
Significance and Use | ||||||||||||||||||
5.1 This practice can be used to continuously demonstrate the proficiency of analytical measurement systems that are used for establishing and ensuring the quality of petroleum and petroleum products. 5.2 Data accrued, using the techniques included in this practice, provide the ability to monitor analytical measurement system precision and bias. 5.3 These data are useful for updating test methods as well as for indicating areas of potential measurement system improvement. |
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1. 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. 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. 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.
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Standard Guide for Analysis and Interpretation of Proficiency Test Program Results
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Standard Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test Method
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Standard Practice for Dealing With Outlying Observations
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Standard Practice for Validation of the Performance of Process Stream Analyzer Systems
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Standard Terminology Relating to Quality and Statistics (Includes all amendments and changes 4/21/2022).
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Standard Practice for Use of the Terms Precision and Bias in ASTM Test Methods |
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