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
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99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
REGRESSION ANALYSIS
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COMPUTER CALCULATIONS
ITERATIVE METHODS
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990200* - Mathematics & Computers
REGRESSION ANALYSIS
ALGORITHMS
AIR POLLUTION
COMPUTER CALCULATIONS
ITERATIVE METHODS
SAN FRANCISCO BAY
MATHEMATICAL LOGIC
MATHEMATICS
PACIFIC OCEAN
POLLUTION
SEAS
STATISTICS
SURFACE WATERS
990200* - Mathematics & Computers