BS EN ISO 4259-5:2024
$198.66
Petroleum and related products. Precision of measurement methods and results – Statistical assessment of agreement between two different measurement methods that claim to measure the same property
Published By | Publication Date | Number of Pages |
BSI | 2024 | 58 |
This document specifies statistical methodology for assessing the expected agreement between two test methods that purport to measure the same property of a material, and for deciding if a simple linear bias correction can further improve the expected agreement. This document is applicable for analytical methods which measure quantitative properties of petroleum or petroleum products resulting from a multi-sample-multi-lab study (MSMLS). These types of studies include but are not limited to interlaboratory studies (ILS) meeting the requirements of ISO 4259-1 or equivalent, and proficiency testing programmes (PTP) meeting the requirements of ISO 4259-3 or equivalent. The methodology specified in this document establishes the limiting value for the difference between two results where each result is obtained by a different operator using different apparatus and two methods X and Y, respectively, on identical material. One of the methods (X or Y) has been appropriately bias-corrected to agree with the other in accordance with this practice. This limit is designated as the between-methods reproducibility. This value is expected to be exceeded with a probability of 5 % under the correct and normal operation of both test methods due to random variation. NOTE Further conditions for application of this methodology are given in 5.1 and 5.2.
PDF Catalog
PDF Pages | PDF Title |
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2 | undefined |
12 | 5.1 General requirements |
13 | 5.2 Additional requirements for PTP data 5.2.1 General conditions 5.2.2 Test on existence of extreme samples |
14 | 5.2.3 Test on distribution of lab results |
15 | 5.2.4 Comparison of precision 5.3 Brief sequential steps of the procedure |
17 | 5.4 Flow diagram of the procedure |
19 | 6.1 Sample mean and standard error 6.1.1 General 6.1.2 Computation of the means 6.1.3 Calculation of standard errors |
20 | 6.2 Suitability of the data 6.2.1 Test on property variation 6.2.2 Correlation of the test methods |
21 | 6.3 Bias correction selection statistics 6.3.1 General 6.3.2 Class 0—No bias correction 6.3.3 Class 1a—Constant bias correction |
22 | 6.3.4 Class 1b — Proportional bias correction 6.3.5 Class 2 — Proportional and constant bias correction |
23 | 6.4 Selection of the appropriate bias correction class |
24 | 6.5 Confirming the normal distribution of weighted residuals |
25 | 6.6 Sample-specific biases |