A short introduction to splines in least squares regression analysis

URN to cite this document:: urn:nbn:de:bvb:355-epub-279689
DOI to cite this document:: 10.5283/epub.27968

Kagerer, Kathrin

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Date of publication of this fulltext: 03 Apr 2013 11:43

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Abstract

Splines are an attractive way of flexibly modeling a regression curve since their basis functions can be included like ordinary covariates in regression settings. An overview of least squares regression using splines is presented including many graphical illustrations and comprehensive examples. Starting from two bases that are widely used for constructing splines, three different variants of ...