A COMPARISON OF DIFFERENT WEATHER FORCASTING MODELS
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Date
2017
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Publisher
UMT.Lahore
Abstract
In this thesis, we studied the performance of different statistical models and compare their
forecast accuracy. In particular, we used multiple linear regression (MLR), seasonal
autoregressive fractional integrated moving average (SARFIMA), and artificial neural network
(ANN).