![]() They are two strongly related non-parametric regression methods that combine multiple regression models in a k-nearest-neighbor-based meta-model. ![]() Its most common methods, initially developed for scatterplot smoothing, are LOESS ( locally estimated scatterplot smoothing) and LOWESS ( locally weighted scatterplot smoothing), both pronounced / ˈ l oʊ ɛ s/. Local regression or local polynomial regression, also known as moving regression, is a generalization of the moving average and polynomial regression. The LOESS curve approximates the original sine wave. LOESS curve fitted to a population sampled from a sine wave with uniform noise added. ( June 2011) ( Learn how and when to remove this template message) ![]() Please help to improve this article by introducing more precise citations. This article includes a list of general references, but it lacks sufficient corresponding inline citations.
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