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  "Description": "Noise in the time-series data significantly affects the\naccuracy of the ARIMA model. Wavelet transformation decomposes\nthe time series data into subcomponents to reduce the noise and\nhelp to improve the model performance. The wavelet-ARIMA model\ncan achieve higher prediction accuracy than the traditional\nARIMA model. This package provides Wavelet-ARIMA model for time\nseries forecasting based on the algorithm by Aminghafari and\nPoggi (2012) and Paul and Anjoy (2018)\n<doi:10.1142/S0219691307002002>\n<doi:10.1007/s00704-017-2271-x>.",
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