Application of the Akaike Criterion to Detect Outliers for the Analysis of ash Content in Barley Straw
2014
Kornacki, Andrzej
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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Bibliographic information
International agrophysics
Volume
28
Issue
2
Pagination
257
- 260
ISSN
0236-8722
Publisher
John Wiley & Sons, Ltd
Other Subjects
Akaike criterion; Outliers
Language
English
Type
Journal Article; Text
2024-02-28
MODS
Data Provider
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