Extend Nearly Pseudo Quasi-2-Absorbing submodules(II)

Time series analysis is the statistical approach used to analyze a of data. most popular method for forecasting, which widely in several and economic applications. The wavelet transform powerful mathematical technique that converts an analyzed signal into time-frequency representation. provides information both time domain frequency domain. aims this study are propose function by derivation quotient from two different Fibonacci coefficient polynomials, as well comparison between ARIMA wavelet-ARIMA. data daily wind speed study. From obtained results, proposed wavelet-ARIMA appropriate speed. As compared wavelets it gives us less value MAE RMSE.