Vol 6, No 2 (2022)

Maximum Likelihood Robust Regression Model for Downscaling Hydrology Data

Authors:- Hitesh Bisht, V. R. Raman

Abstract:- Several studies have been undertaken on the use of time series models for the prediction and forecasting of hydrologic parameters such as precipitation, water discharge levels, rainfall runoff, and so on. The main job of data management in time series analysis is to estimate the standard parameters of the data utilising some resilient new methodologies. Currently, the study proposes estimating the parameters using the maximum likelihood technique and creating a robust regression line for future predictions and forecasts for downscaling data sets. Finally, for the best model fitting, the RMSE technique and the chi-square test were used.

Keywords:- Robust regression models, ARIMA models, Maximum likelihood method, etc

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