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Title: Projection pursuit regression

Conference ·
OSTI ID:5632461

A new method for nonparametric multiple regression is presented. The procedure models the regression surface as a sum of general smooth functions of linear combinations of the predictor variables in an iterative manner. This procedure is more general than standard stepwise and stagewise regression procedures, is affine invariant, does not require the definition of a metric, and lends itself to graphical interpretation. 3 figures.

Research Organization:
Stanford Linear Accelerator Center, CA (USA); Stanford Univ., CA (USA)
DOE Contract Number:
EY-76-C-03-0515
OSTI ID:
5632461
Report Number(s):
SLAC-PUB-2466; CONF-7910134-1
Resource Relation:
Conference: IMS special topics on regression conference, Boulder, CO, USA, 22 Oct 1979
Country of Publication:
United States
Language:
English