The DOI matches its Crossref record.
Transformation and Weighting in Regression.
Abstract
Introduction. Generalized Least Squares and the Analysis of Heteroscedasticity. Estimation and Inference for Variance Functions. The Transform-Both-Sides Methodology. Combining Transformations and Weighting. Influence and Robustness. Technical Complements. Some Open Problems. References. Index.
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Citations
Cited by
An updated coronary risk profile. A statement for health professionals.
Anderson, K. M., Wilson, P. W., Odell, P. M., & Kannel, W. B. (1991) · Circulation · doi:10.1161/01.cir.83.1.356 · Cited by 1,834
Assessment and Propagation of Model Uncertainty
Draper, D. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02015.x · Cited by 1,599
Hayes, A. F., & Preacher, K. J. (2010) · Multivariate Behavioral Research · doi:10.1080/00273171.2010.498290 · Cited by 1,160
A Note on the Efficiency of Sandwich Covariance Matrix Estimation
Kauermann, G., & Carroll, R. J. (2001) · Journal of the American Statistical Association · doi:10.1198/016214501753382309 · Cited by 616
Self-citationHeterogeneous Variance: Covariance Structures for Repeated Measures
Wolfinger, R. D. (1996) · Journal of Agricultural, Biological, and Environmental Statistics · doi:10.2307/1400366 · Cited by 401
Metadata
- Authors
- Lachenbruch, P. A., Carroll, R. J., & Ruppert, D.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 1990-06
- Volume
- 85
- Issue
- 410
- Pages
- 593
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W2102000606
- Cited by
- 1,132
- References
- 0
- FWCI
- 47.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Transformation and Weighting in Regression. https://app.cochat.ai/papers/10.2307/2289809
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- Lachenbruch, P. A., Carroll, R. J., & Ruppert, D. (1990). Transformation and Weighting in Regression. Journal of the American Statistical Association. https://doi.org/10.2307/2289809
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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.