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Mix local polynomial and spline truncated: the development of nonparametric regression model
Author(s) -
. Suparti,
Alan Prahutama,
Rukun Santoso
Publication year - 2018
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1025/1/012102
Subject(s) - smoothing spline , spline (mechanical) , mathematics , semiparametric regression , polynomial regression , nonparametric statistics , nonparametric regression , estimator , polyharmonic spline , polynomial , thin plate spline , kernel smoother , parametric statistics , regression analysis , statistics , spline interpolation , kernel method , computer science , mathematical analysis , artificial intelligence , structural engineering , engineering , bilinear interpolation , radial basis function kernel , support vector machine

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