LOCALLY WEIGHTED REGRESSION SMOOTHER

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A locally weighted regression or Loess smoother, is a smoothing function based on the distance from the point Xi.

For each point in the neighbourhood of Xi the weights are calculated by a function called the tri-cube weight function, where the weights are proportional to the cubic distance of a point from Xi.

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Generalized Additive Models 23.4.96 Page : 5f of 15