The efficiency of noise reduction for curve fitting in growth curve models

نویسندگان

  • Hossein Hassani
  • Saeid Amiri
  • Dietrich von Rosen
  • Mohammad Zokaei
  • Mansoureh Ghodsi
چکیده

In this paper, we discuss the efficiency of noise reduction for curve fitting in growth curve models. We use singular spectrum analysis as a nonlinear–nonparametric denoising method. A set of longitudinal measurements is used in considering the performance of the method. The results show that noise reduction is important for curve fitting in growth curve model and also, that the singular spectrum analysis technique can be used as a powerful tool for noise reduction in longitudinal measurements.

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تاریخ انتشار 2008