Forecasting of particulate matter with a hybrid ARIMA model based on wavelet transformation and seasonal adjustment

标题
Forecasting of particulate matter with a hybrid ARIMA model based on wavelet transformation and seasonal adjustment
作者
关键词
Seasonal adjustment, Maximal overlap discrete wavelet transformation (MODWT), Autoregressive integrated moving average (ARIMA), Particulate matter (PM, 10, ), Forecasting, Erzurum
出版物
Urban Climate
Volume 39, Issue -, Pages 100930
出版商
Elsevier BV
发表日期
2021-07-22
DOI
10.1016/j.uclim.2021.100930

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started