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    LI Yawei, LIU Ling, SONG Shixun, LU Feng. Application and R Software Implementation of Multiplicative Seasonal ARIMA Model[J]. Journal of Environmental Hygiene, 2018, 8(4): 345-349. DOI: 10.13421/j.cnki.hjwsxzz.2018.04.013
    Citation: LI Yawei, LIU Ling, SONG Shixun, LU Feng. Application and R Software Implementation of Multiplicative Seasonal ARIMA Model[J]. Journal of Environmental Hygiene, 2018, 8(4): 345-349. DOI: 10.13421/j.cnki.hjwsxzz.2018.04.013
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    Application and R Software Implementation of Multiplicative Seasonal ARIMA Model

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      • Abstract
    • Objectives To explore the R software implementation of multiplicative seasonal ARIMA model and to provide a method for its utilization.
      Methods The ARIMA model was established on account of the atmospheric pollutant ozone (O3) concentration from 1987 to 2000 in Chicago, USA, and the difference between predicted value and observed value was compared.
      Results ARIMA model was implemented conveniently in R software. and the average relative error between the predicted and observed values was 5.6%.
      Conclusions R software had a relatively abundant useful software packages for fitting the multiplicative seasonal ARIMA model, and users could complete the analysis conveniently and quickly.
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