scholarly journals Eligibility Adopting Error Functions to Reproduce the Combustion Behavior of the Covering Materials of Cables

2021 ◽  
Author(s):  
Tsukasa Fukaya ◽  
Yuji Nakamura
Metrologiya ◽  
2020 ◽  
pp. 3-15
Author(s):  
Rustam Z. Khayrullin ◽  
Alexey S. Kornev ◽  
Andrew A. Kostoglotov ◽  
Sergey V. Lazarenko

Analytical and computer models of false failure and undetected failure (error functions) were developed with tolerance control of the parameters of the components of the measuring technique. A geometric interpretation of the error functions as two-dimensional surfaces is given, which depend on the tolerance on the controlled parameter and the measurement error. The developed models are applicable both to theoretical laws of distribution, and to arbitrary laws of distribution of the measured quantity and measurement error. The results can be used in the development of metrological support of measuring equipment, the verification of measuring instruments, the metrological examination of technical documentation and the certification of measurement methods.


Author(s):  
B. L. Fetherolf ◽  
D. M. Chen ◽  
T. S. Snyder ◽  
T. A. Litzinger ◽  
Kenneth K. Kuo

2018 ◽  
Author(s):  
Bassem Hallak ◽  
N. Linn ◽  
Eckehard Specht ◽  
Fabian Herz

1998 ◽  
Vol 4 (6) ◽  
pp. 99-102
Author(s):  
Yumiko SAWADA ◽  
Masashi YOSHIDA ◽  
Tsutomu NAGAOKA ◽  
Shintaro MICHIKOSHI ◽  
Nagao HORI

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Péter Sipos

AbstractStudies comparing numerous sorption curve models and different error functions are lacking completely for soil-metal adsorption systems. We aimed to fill this gap by studying several isotherm models and error functions on soil-metal systems with different sorption curve types. The combination of fifteen sorption curve models and seven error functions were studied for Cd, Cu, Pb, and Zn in competitive systems in four soils with different geochemical properties. Statistical calculations were carried out to compare the results of the minimizing procedures and the fit of the sorption curve models. Although different sorption models and error functions may provide some variation in fitting the models to the experimental data, these differences are mostly not significant statistically. Several sorption models showed very good performances (Brouers-Sotolongo, Sips, Hill, Langmuir-Freundlich) for varying sorption curve types in the studied soil-metal systems, and further models can be suggested for certain sorption curve types. The ERRSQ error function exhibited the lowest error distribution between the experimental data and predicted sorption curves for almost each studied cases. Consequently, their combined use could be suggested for the study of metal sorption in the studied soils. Besides testing more than one sorption isotherm model and error function combination, evaluating the shape of the sorption curve and excluding non-adsorption processes could be advised for reliable data evaluation in soil-metal sorption system.


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