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Assaying SARIMA and generalised regularised regression for particulate matter PM10 modelling and forecasting
Author(s) -
Atanas Ivanov,
Snezhana Gocheva Ilieva
Publication year - 2019
Publication title -
international journal of environment and pollution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.167
H-Index - 46
eISSN - 1741-5101
pISSN - 0957-4352
DOI - 10.1504/ijep.2019.10026235
Subject(s) - mean squared error , particulates , statistics , regression , regression analysis , gradient boosting , global positioning system , meteorology , mathematics , environmental science , econometrics , computer science , random forest , geography , machine learning , ecology , telecommunications , biology

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