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Merging Spline Approximations with Analysis of Nonlinear Regression Models
Author(s) -
Onukogu Ike B.
Publication year - 1984
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710260308
Subject(s) - mathematics , spline (mechanical) , nonlinear regression , nonlinear system , proper linear model , regression analysis , statistics , linear model , linear regression , multivariate adaptive regression splines , b spline , regression , polynomial regression , mathematical analysis , engineering , physics , structural engineering , quantum mechanics
The paper outlines a method of analysis of intricically non‐linear regression functions. The nonlinear model is first approximated by a cubic spline function. Thereafter, the standard methods of analysis in linear models are applied to obtain estimates and test statistics.