Results 21 to 30 of about 6,660,147 (290)
Drought Forecasting Using Stochastic Models in a Hyper-Arid Climate
Atmosphere, 2015 Drought forecasting plays a crucial role in drought mitigation actions. Thus, this research deals with linear stochastic models (autoregressive integrated moving average (ARIMA)) as a suitable tool to forecast drought.
Amr Mossad, Abdulrahman Ali Alazba
doaj +1 more source
FORECASTING ARECA NUT MARKET PRICES USING THE ARIMA MODEL: A CASE STUDY OF INDIA [PDF]
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2021 India is the major producer of Areca nut in the world. Volatile demand and price are the major challenges for the Areca nut growers in India. The use of time series models to manage the price risk has become the interest of academicians today.
ABHAYA K. KUMAR +5 more
doaj
Comparison of Two Hybrid Models for Forecasting the Incidence of Hemorrhagic Fever with Renal Syndrome in Jiangsu Province, China. [PDF]
PLoS ONE, 2015 Cases of hemorrhagic fever with renal syndrome (HFRS) are widely distributed in eastern Asia, especially in China, Russia, and Korea. It is proved to be a difficult task to eliminate HFRS completely because of the diverse animal reservoirs and effects of
Wei Wu +6 more
doaj +1 more source
ARIMA Models in Solar Radiation Forecasting in Different Geographic Locations
Energies, 2023 The increasing demand for clean energy and the global shift towards renewable sources necessitate reliable solar radiation forecasting for the effective integration of solar energy into the energy system.
Ewa Chodakowska +5 more
doaj +1 more source
Frontiers in Public Health, 2022 BackgroundAccurate incidence prediction of sexually transmitted diseases (STDs) is critical for early prevention and better government strategic planning.
Zhixin Zhu +5 more
doaj +1 more source
Forecasting Financial Valuation Comparing ARIMA and Prophet [PDF]
, 2022 In this study, we limit the forecasting period to one year since the same method is applicable to more than one year. The reason for that is the only five-year historic data we have for Discount Cash Flow (DCF) and six years for Price Earning (P/E) and ...
Tchoudi, William, Sergeenko, Grigory
core +1 more source
emchristensen/JRN_grass_climate_correlation: ARIMA models
, 2023 Main models are now ARIMA models.
Erica Christensen
core +1 more source
Comparing Single Vs. Hybrid models in Time Series Forecasting [PDF]
المجلة العلمية للدراسات والبحوث المالية والتجارية:The research aims to forecast time series relying on individual models SVR, ARIMA, and the hybrid model "ARIMA-SVR" through different integration methods applied to global oil price data from January 2004 to December 2023, comprising monthly data with ...
مها توفيق +1 more
doaj +1 more source
Hybrid Model of Singular Spectrum Analysis and ARIMA for Seasonal Time Series Data
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2022 Hybrid models between Singular Spectrum Analysis (SSA) and Autoregressive Integrated Moving Average (ARIMA) have been developed by several researchers.
Gumgum Darmawan +2 more
doaj +1 more source