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Cited by 501

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Fitting Segmented Regression Models by Grid Search

Lerman, P. M.·1980·Applied Statistics

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.

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Metadata

Authors
Lerman, P. M.
Venue
Applied Statistics
Publisher
JSTOR
Published
1980
Volume
29
Issue
1
Pages
77
ISSN
0035-9254 (ISSN-L)
OpenAlex
W2552942965
Cited by
501
References
2
FWCI
2.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Fitting Segmented Regression Models by Grid Search. https://app.cochat.ai/papers/10.2307/2346413
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Lerman, P. M. (1980). Fitting Segmented Regression Models by Grid Search. Applied Statistics. https://doi.org/10.2307/2346413

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.