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Fitting Segmented Regression Models by Grid Search

P. M. Lerman
Journal of the Royal Statistical Society. Series C (Applied Statistics)
Vol. 29, No. 1 (1980), pp. 77-84
Published by: Wiley for the Royal Statistical Society
DOI: 10.2307/2346413
Stable URL: http://www.jstor.org/stable/2346413
Page Count: 8
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Fitting Segmented Regression Models by Grid Search
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Abstract

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.

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