Concepts and Suggestions for Robust Regression Analysis
Bibliographic Data
| ID | 6231047 |
|---|---|
| Authors | B Western (0000-0001-8615-6767, Princeton University, corresponding author) |
| Year | 1995 |
| Volume | 39 |
| Issue | 3 |
| Pages | 786 |
| Publication date | 1995-08-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Journal of Political Science (JOURNAL) |
| Journal identifiers | ISSN: 0092-5853 • E-ISSN: 1540-5907 |
| Publisher | JSTOR (PUBLISHER) |
| DOI | 10.2307/2111654 |
| OpenAlex | W2062813049 |
| Language | EN |
| Citations received | 45 |
| References cited | 12 |
Theory: Robust methods for regression yield parameter estimates that are insensitive to small departures in the data from the assumed model. A review of some basic ideas of robust estimation focuses on a class of techniques called M-estimators that discount the impact of outlying observations. Methods: These ideas are extended to three practically important areas: (1) some simple methods for inference for robust estimators are described; (2) a more general class of robust estimators for generalized linear models is then introduced; (3) the high breakdown least median of squares method is presented. Results: Applications from comparative and American politics illustrate ideas in these areas
Class (philosophy · Econometrics · Epistemology · Estimator · Inference · Linear regression · M-estimator · Regression · Regression analysis · Robust regression · Robust statistics · Simple (philosophy · Statistical inference · Statistics · Advanced Statistical Methods and Models · Advanced Statistical Process Monitoring · Applied Mathematics · Artificial Intelligence · Computer Science · Mathematics · Statistical Methods and Inference
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New Explorations into International Relations
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Risky Inference
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The Taming of Chance
An Introduction to the Bootstrap
Robust M-Estimation of Location and Regression
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Industrial Conflict in Advanced Industrial Societies
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| Unique citing works | 45 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 1996 - 2026 (31) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 45 |