The DOI matches its Crossref record.
Quantile Regression
Overview
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Citations
Cited by
Evidence of shorter more extreme rainfalls and increased flood variability under climate change
Wasko, C., Nathan, R., Stein, L., & O'Shea, D. (2021) · Journal of Hydrology · doi:10.1016/j.jhydrol.2021.126994 · Cited by 391
Do Highly Paid, Highly Skilled Women Experience the Largest Motherhood Penalty?
England, P., Bearak, J., Budig, M. J., & Hodges, M. J. (2016) · American Sociological Review · doi:10.1177/0003122416673598 · Cited by 365
Corporate Governance, Incentives, and Tax Avoidance
Armstrong, C. S., Blouin, J. L., Jagolinzer, A. D., & Larcker, D. F. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2252682 · Cited by 288
Field of Study in College and Lifetime Earnings in the United States
Kim, C., Tamborini, C. R., & Sakamoto, A. (2015) · Sociology of Education · doi:10.1177/0038040715602132 · Cited by 162
Sleep duration and adolescent obesity
Mitchell, J. A., Rodriguez, D., Schmitz, K. H., & Audrain-McGovern, J. (2013) · PEDIATRICS · doi:10.1542/peds.2012-2368 · Cited by 156
Metadata
- Authors
- Hao, L., & Naiman, D.
- Venue
- Sage eBooks
- Publisher
- SAGE Publications, Inc.
- Published
- 2007
- OpenAlex
- W4232731667
- Cited by
- 526
- References
- 0
- FWCI
- 1.99
- Type
- book
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Quantile Regression. https://app.cochat.ai/papers/10.4135/9781412985550
- The paper
- Hao, L., & Naiman, D. (2007). Quantile Regression. Sage eBooks. https://doi.org/10.4135/9781412985550
Data sources
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.