# Robust statistical modeling of monthly rainfall: The minimum density power divergence approach.

@article{Hazra2019RobustSM, title={Robust statistical modeling of monthly rainfall: The minimum density power divergence approach.}, author={A. Hazra and Abhik Ghosh}, journal={arXiv: Applications}, year={2019} }

Statistical modeling of rainfall is an important challenge in meteorology, particularly from the perspective of rainfed agriculture where a proper assessment of the future availability of rainwater is necessary. The probability models mostly used for this purpose are exponential, gamma, Weibull and lognormal distributions, where the unknown model parameters are routinely estimated using the maximum likelihood estimator (MLE). However, presence of outliers or extreme observations is quite common… Expand

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