Adaptation of the Analysis of Variance in the Validation and Verification of Methods for Performing Wear Measurements in Diesel Oil in the Plane of Improving the Measurements Quality

Author:

Tsareva S.,Shcherbakova A.,Ugryumova M.,Chernyavskaya A.,Kruglova V.

Publisher

Springer Nature Switzerland

Reference15 articles.

1. Keruchenko, L.S., Maltseva, E.I.: The use of statistical methods to assess the maximum content of wear products in motor oils. Bull. Omsk State Agrarian Univ. 1(21), 255–261 (2016)

2. Gladtsyn, A.Yu.: The influence of sampling on the accuracy of engine oil diagnostics. Bull. NGIEI 6(37), 48–50 (2014)

3. Glushchenko, A.A., Zeynetdinov, R.A., Vaichik, I.S.: Engine diagnostics by the content of wear products in crankcase oil. Izvestiya St. Petersburg State Agrarian Univ. 41, 241–244 (2015)

4. Ronchetti, E.: The main contributions of robust statistics to statistical science and a new challenge. METRON 79(2), 127–135 (2020). https://doi.org/10.1007/s40300-020-00185-3

5. Haelewyn, J., Iversen, Ph.W., Weidner, J.R.: Addressing unusual assay variability with robust statistics. In: SLAS Discov. 26(10), 1291–1297 (2021). https://doi.org/10.1177/24725552211038379

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