Autor: Kosheva, L. A. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Improving the reliability of measurement testing
Autorzy:: Volodarsky, E. T.
Warsza, Z. L.
Kosheva, L. A.
Idźkowski, A.
Powiązania:: https://bibliotekanauki.pl/articles/114587.pdf
Data publikacji:: 2015
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: quality control
reliability assessment
measurement inspection
decision making
Opis:: There is proposed the application of an auxiliary quantity, homogeneous with the measured one, in the quality control of an object made with the use of measuring channel and processing and decision making module. The result of processing of this quantity in the measurement channel is applied for the additive and multiplicative correction of decision limits. This allows to reduce the impact of imperfect processing characteristics of measuring channel. The significant effectiveness of such correction, at different ratio of the components of processing error is presented. The influence of errors of forming auxiliary quantity is also considered.
Źródło:: Measurement Automation Monitoring; 2015, 61, 5; 136-139
2450-2855
Pojawia się w:: Measurement Automation Monitoring
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Robust Algorithm S to assess the precision of interlaboratory measurements
Autorzy:: Volodarsky, E. T.
Warsza, Z. L.
Kosheva, L.
Idźkowski, A.
Powiązania:: https://bibliotekanauki.pl/articles/114514.pdf
Data publikacji:: 2015
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: robust statistics
algorithm S
test laboratory
comparability and acceptability of interlaboratory results
uncertainty
Opis:: The application of robust statistical methods to assess the precision (uncertainty) of the results of interlaboratory comparison tests is presented. The case, when these results may include outliers is considered. An usual rejection of such data reduces the reliability of evaluation, especially for small samples. The robust methods take into consideration all samples data including outliers. The use of the robust method Algorithm S is provided for estimating the precision of some measuring method tested in comparative studies in the group of accredited laboratories. Result obtained for simulated example is very close to the case with rejection outliers, but more reliable.
Źródło:: Measurement Automation Monitoring; 2015, 61, 4; 111-114
2450-2855
Pojawia się w:: Measurement Automation Monitoring
Dostawca treści:: Biblioteka Nauki

Artykuł

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