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- W65354313 abstract "Exploratory data analysis uses graphics and expert knowledge to discover interesting structure in data. For multivariate situations, it is generally difficult to find useful graphics or adequate domain knowledge, largely because of the ‘Curse of Dimensionality.’ Statisticians have responded to this challenge in many ways, but particularly important approaches involve extensions of conventional regression methodology to allow more flexible model fitting. These extensions include additive models, recursive partitioning regression, multivariate spline regression, projection pursuit regression, local smoothing, and other techniques." @default.
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- W65354313 date "2001-01-01" @default.
- W65354313 modified "2023-09-27" @default.
- W65354313 title "Exploratory Data Analysis: Multivariate Approaches (Nonparametric Regression)" @default.
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- W65354313 doi "https://doi.org/10.1016/b0-08-043076-7/00424-1" @default.
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