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Inference in Two-Phase Regression
Abstract
Procedures are outlined for obtaining maximum likelihood estimates and likelihood confidence regions in the intersecting two-phase linear regression model. The procedures are illustrated on a small set of data, and the distributional properties are examined empirically.
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Cited by
Detection of Abrupt Changes: Theory and Application
Riedel, K. S. (1994) · Technometrics · doi:10.1080/00401706.1994.10485821 · Cited by 3,518
Some aspects of the spline smoothing approach to non-parametric regression curve fitting
Silverman, B. W. (1985) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1985.tb01327.x · Cited by 1,117
PIECEWISE REGRESSION: A TOOL FOR IDENTIFYING ECOLOGICAL THRESHOLDS
Toms, J. D., & Lesperance, M. L. (2003) · Ecology · doi:10.1890/02-0472 · Cited by 1,038
Markov chain Monte Carlo method and its application
Brooks, S. (1998) · Journal of the Royal Statistical Society: Series D (The Statistician) · doi:10.1111/1467-9884.00117 · Cited by 843
A Review and Comparison of Changepoint Detection Techniques for Climate Data
Reeves, J., Chen, J., Wang, X. L., Lund, R., & Lu, Q. Q. (2007) · Journal of Applied Meteorology and Climatology · doi:10.1175/jam2493.1 · Cited by 638
Metadata
- Authors
- Hinkley, D. V.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1971-12
- Volume
- 66
- Issue
- 336
- Pages
- 736-743
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W1981608416
- Cited by
- 315
- References
- 0
- FWCI
- 1.37
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hinkley, D. V. (1971). Inference in Two-Phase Regression. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1971.10482337
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
