Robust Locally Weighted Regression and Smoothing Scatterplots
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Summary
Visual, computational, and statistical issues of robust locally weighted regression are discussed and several examples, including data on lead intoxication, are used to illustrate the methodology.
- Type
- article
- Published
- 1979-12-01
- Cited by
- 11,654
- References
- 18
- OpenAlex
- https://openalex.org/W2024081693
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:31665444
Keywords
Smoothing, Robust regression, Mathematics, Polynomial regression, Regression
References
- A Robust Method for Multiple Linear Regression
- Confidence Intervals for Bisquare Regression Estimates
- The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic Data
- The Relationship Between Variable Selection and Data Agumentation and a Method for Prediction
- Consistent Nonparametric Regression
- NON-NORMALITY AND TESTS ON VARIANCES
- Robust Regression: Asymptotics, Conjectures and Monte Carlo
- Statistical methods in research and production
- Confidence Interval Robustness with Long-Tailed Symmetric Distributions
- Exploratory data analysis
- Methods of Correlation Analysis.
- Non‐Parametric Estimation of a Smooth Regression Function
- The Smoothing of Time Series
- Fitting Equations to Data.
- Fitting Equations to Data
- The Smoothing of Time Series
- Statistical Methods in Research and Production.
- The Relationship between Variable Selection and Data Agumentation and a Method for Prediction
- Methods of Correlation Analysis.
- Methods of Correlation Analysis.
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