Application of the Akaike criterion to detect outliers for the analysis of ash content in barley straw
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Department of Applied Mathematics and Informatics, University of Life Sciences, Akademicka 13, 20-950 Lublin, Poland
Int. Agrophys. 2014, 28(2): 257-260
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ABSTRACT
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.
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| eISSN: | 2300-8725 |
| ISSN: | 0236-8722 |
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