A New Smoothing Method for Time Series Data in the Presence of Autocorrelated Error
Samuel Olorunfemi Adams & Rueben Adeyemi Ipinyomi · Asian Journal of Probability and Statistics · 2019
Spline Smoothing is used to filter out noise or disturbance in an observation, its performance depends on the choice of smoothing parameters. There are many methods of estimating smoothing parameters; most popular among them are; Generalized Maximum Likelihood (GML), Generalized...
Open access
Research Article
10.9734/ajpas/2019/v4i430121