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An overview of the conventional time series forecasting methods, including AR, MA, ARMA, ARIMA, SARIMA, ARCH, and GARCH models, is provided in this book. The trend pattern of rainfall in India is described in detail in Chapter 1, the traditional forecast models are described in Chapter 2, and the innovative way of building a time series model is discussed in Chapter 3. The validity of this method is tested using an appropriate data set of Indian rainfall.

Produktbeschreibung
An overview of the conventional time series forecasting methods, including AR, MA, ARMA, ARIMA, SARIMA, ARCH, and GARCH models, is provided in this book. The trend pattern of rainfall in India is described in detail in Chapter 1, the traditional forecast models are described in Chapter 2, and the innovative way of building a time series model is discussed in Chapter 3. The validity of this method is tested using an appropriate data set of Indian rainfall.
Autorenporträt
Awarded Ph.D. in Statistics from Osmania University, Hyderabad, India, in 2021. Published more than 10 research articles in the reputed national, international, and UGC CARE List journals. Worked as ASO/MPSO in DE&S, Telangana State, and S.O. in KNRUHS, Warangal, Telangana State. Currently working as a DL in statistics at MJPTBCWREIs, Telangana.