Use of Statistical Analysis Methods for Estimating the Reliability of First-Year Carbon Steel and Zinc Corrosion Loss Predictions Calculated Using Dose-Response Functions

The following parameters have been used to estimate the reliability of predicted first-year corrosion losses of carbon steel and zinc ( ): the standard determination coefficient according to ASTM G 16; statistical indicators such as SMAPE and MAPE; generalized determination coefficients; confidence...

Full description

Saved in:
Bibliographic Details
Published in:Protection of metals and physical chemistry of surfaces 2019-07, Vol.55 (4), p.753-760
Main Authors: Panchenko, Yu. M., Marshakov, A. I., Bardin, I. V., Shklyaev, A. V.
Format: Article
Language:English
Subjects:
Carbon steel
Carbon steels
Characterization and Evaluation of Materials
Chemistry and Materials Science
Coefficients
Confidence
Corrosion
Corrosion and Coatings
Industrial Chemistry/Chemical Engineering
Inorganic Chemistry
Materials Science
Mathematical analysis
Metallic Materials
Parameter estimation
Physicochemical Problems of Materials Protection
Predictions
Reliability analysis
Response functions
Statistical analysis
Statistical methods
Statistical prediction
Tribology
Zinc
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The following parameters have been used to estimate the reliability of predicted first-year corrosion losses of carbon steel and zinc ( ): the standard determination coefficient according to ASTM G 16; statistical indicators such as SMAPE and MAPE; generalized determination coefficients; confidence angle. The experimental data on corrosion losses of carbon steel and zinc ( ) and the atmosphere corrosivity parameters were taken from the UN/ECE international program and Russian program. The values were calculated using various dose-response functions. It is not recommended to use the standard determination coefficient in the y = x = coordinates.
ISSN:2070-2051
2070-206X
DOI:10.1134/S2070205119040142