Automatic trend estimation

The reader will be able to reproduce the original automatic algorithms for trend estimation and time series partitioning Teaches the essential characteristics of the polynomial fitting and moving averaging algorithms in the case of arbitrary non-monotonic trends With examples of real time series from astrophysics, finance, biophysics, and paleoclimatology as encountered in practice Includes supple...