The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Calculus of M-Estimation
Open accessAbstract
Since the seminal papers by Huber in the 1960s, M-estimation methods (also known as estimating equation methods) have been increasingly important for asymptotic analysis and approximate inference. This article illustrates the breadth and generality of the M-estimation approach, thereby facilitating its use inpractice and in the classroom as a unifying approach to the study of large-sample inference.
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Citations
Cites
Robust estimation of a location parameter
Huber, P. J. (1964) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177703732 · Cited by 7,228
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Rydell, M., Lundström, S., Gillberg, C., Lichtenstein, P., & Larsson, H. (2018) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12882 · Cited by 105
Efficient Standard Error Formulas of Ability Estimators with Dichotomous Item Response Models
Magis, D. (2016) · Psychometrika · doi:10.1007/s11336-015-9443-3 · Cited by 9
Metadata
- Authors
- Stefanski, L. A., & Boos, D. D.
- Venue
- The American Statistician
- Publisher
- Informa UK Limited
- Published
- 2002-02
- Volume
- 56
- Issue
- 1
- Pages
- 29-38
- ISSN
- 0003-1305 (ISSN-L)
- 1537-2731
- OpenAlex
- W2093130286
- Cited by
- 466
- References
- 1
- FWCI
- 3.96
- Type
- journal article
- Language
- en
- Open access
- green
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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.
