In the last post we looked at smoothing time series by focusing mainly, or exclusively, on local data, i.e., data which are nearby (in time) to the moment at which we’re trying to estimate the smooth. This is usually accomplished by having an observation window or weighting function which is centered at the moment of estimation, and we let this window “slide” through time to generate smoothed estimates at all times. We even showed that fitting a polynomial or a Fourier series globally (i.e. to all the data at once) gives results which are, for times not near the edges of the observation window, nearly the same.
Support Your Global Climate Blog
New! Data Analysis ServiceGot data? Need analysis? My services are available at reasonable rates. Submit a comment to any thread stating your wishes (I'll keep it confidential). Be sure to include your email address.
Methane madness on Still Here caveat emptor on Still Here Adrian Burd on Still Here bjchip on Still Here Arvella Oliver on Still Here Glen Koehler on Still Here Gerg (@Gergyl) on Still Here Bob Loblaw on Still Here barry on Still Here climatehawk1 on Still Here jgnfld on Still Here kinimod on Still Here spilgard on Still Here jgnfld on Still Here Susan Anderson on Still Here
Buy the book