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Anomaly Detection in Seasonal ARIMA Models
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Applied Mathematics and Statistics.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2019. , p. 27
Series
U.U.D.M. project report ; 2019:28
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:uu:diva-388503OAI: oai:DiVA.org:uu-388503DiVA, id: diva2:1333467
Educational program
Master Programme in Mathematics
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Available from: 2019-07-01 Created: 2019-07-01 Last updated: 2019-07-01Bibliographically approved

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Type fulltextMimetype application/pdf

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CiteExportLink to record
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