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Assaying SARIMA and generalised regularised regression for particulate matter PM10 modelling and forecasting
Author(s) -
Snezhana Gocheva Ilieva,
Atanas Ivanov
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.2019.104520
Subject(s) - mean squared error , particulates , statistics , global positioning system , gradient boosting , regression , regression analysis , meteorology , econometrics , mathematics , environmental science , computer science , geography , random forest , machine learning , ecology , telecommunications , biology

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