Fitting Segmented Regression Models by Grid Search
Journal of the Royal Statistical Society Series C (Applied Statistics)Published 1 January 1980
P. M. Lerman
Citations495
SJR quartileQ2
SJR score0.65
SNIP0.78
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TL;DR
A grid‐search method of fitting segmented regression curves with unknown transition points is described and compared with a standard method to provide as a by‐product a way of making reliable inferences about the abscissae of the transitions.
Abstract
SUMMARY A grid-search method of fitting segmented regression curves with unknown transition points is described and compared with a standard method. It is shown to be suitable for fitting a wider class of models than the standard method and to provide as a by-product a way of making reliable inferences about the abscissae of the transitions.
Keywords
Computer ScienceMathematics
TechnometricsApplied Regression Analysis
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