Application of the Akaike criterion to detect outliers for the analysis of ash content in barley straw

• Autorzy: Kornacki A.
• Języki publikacji: EN

Abstrakty

EN

This study presents the method of detection of outliers based on the Akaike information criterion. This method has been applied to experimental data on ash content resulting from the combustion of barley straw.

Słowa kluczowe

EN

Akaike criterion; detect outlier; analysis; ash content; barley; straw; biomass

• Wydawca: -
• Czasopismo: International Agrophysics
• Rocznik: 2014
• Tom: 28
• Numer: 2
• Opis fizyczny: p.257-260,ref.

Twórcy

autor

Kornacki A.

• Department of Applied Mathematics and Computer Science, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin, Poland

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