Forecast of the trend in incidence of acute hemorrhagic conjunctivitis in China from 2011-2019 using the Seasonal Autoregressive Integrated Moving Average (SARIMA) and Exponential Smoothing (ETS) models.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of infection and public health"
DOI: 10.1016/j.jiph.2019.12.008
Abstract: BACKGROUND This study aimed to explore the demographic and distributive features of acute hemorrhagic conjunctivitis (AHC). We constructed seasonal autoregressive integrated moving average (SARIMA) and exponential smoothing (ETS) models to predict its trend in incidence… read more here.
Keywords: hemorrhagic conjunctivitis; ets models; seasonal autoregressive; china ... See more keywords
Daily dynamics and weekly rhythms: A tutorial on seasonal autoregressive-moving average models combined with day-of-the-week effects.
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DOI: 10.1037/met0000756
Abstract: Daily diary data of emotional experiences are typically modeled with a first-order autoregressive model to account for possible day-to-day dynamics. However, our emotional experiences are likely influenced by the weekly rhythm of our activities, which… read more here.
Keywords: week; weekly rhythms; day week; seasonal autoregressive ... See more keywords
Forecasting of Electricity Consumption by Seasonal Autoregressive Integrated Moving Average Model in Assam, India
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DOI: 10.32479/ijeep.16506
Abstract: Sustainable electricity consumption, which is about balancing economic growth, social development and environmental protection are the core principles of the Sustainable Development Goal (SDG). Accurate forecasting of electricity consumption is very important for attaining SDG… read more here.
Keywords: seasonal autoregressive; electricity; forecasting electricity; electricity consumption ... See more keywords