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- W1534364023 abstract "Smoothing methods attempt to find functional relationships between different measurements. As in the standard regression setting, the data is assumed to consist of measurements of a response variable, and one or more predictor variables. Standard regression techniques (Chap. III8.) specify a functional form (such as a straight line) to describe the relation between the predictor and response variables. Smoothing methods take a more flexible approach, allowing the data points themselves to determine the form of the fitted curve." @default.
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- W1534364023 date "2011-12-21" @default.
- W1534364023 modified "2023-10-18" @default.
- W1534364023 title "Smoothing: Local Regression Techniques" @default.
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- W1534364023 doi "https://doi.org/10.1007/978-3-642-21551-3_20" @default.
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