Forecasting standardized precipitation index using data intelligence models: regional investigation of Bangladesh

Analyzing Iran’s Local and Regional Droughts Using the Theory of Runs and Standardized Precipitation Index (SPI)

The primary objective of the present study is the investigation of the various properties of Iran’s local and regional droughts based on the theory of runs and standardized precipitation index (SPI). Thus, in order to accomplish this goal, the annual precipitation data of 63 synoptic stations were procured from Iran’s meteorological organization for a 30-year period (1986-2015).. First, based o...

Application of the ARIMA Models in Drought Forecasting Using the Standardized Precipitation Index

The standardized precipitation index (SPI) was used to quantify the classification of drought in the Guanzhong Plain, China. The autoregressive integrated moving average (ARIMA) models were developed to fit and forecast the SPI series. Most of the selected ARIMA models are seasonal models (SARIMA). The forecast results show that the forecasting power of the ARIMA models increases with the incre...

Forecasting Of Tehran Stock Exchange Index by Using Data Mining Approach Based on Artificial Intelligence Algorithms

Uncertainty in the capital market means the difference between the expected values ​​and the amounts that actually occur. Designing different analytical and forecasting methods in the capital market is also less likely due to the high amount of this and the need to know future prices with greater certainty or uncertainty. In order to capitalize on the capital market, investors have always sough...

Drought monitoring using deciles index standardized precipitation index and effective Drought index in tehran province iran

Trend of standardized precipitation index

Introduction Conclusions References