The Accuracy of Elemental Set Approximations for Regression

The elemental set algorithm involves performing many fits to a data set, each fit made to a subsample of size just large enough to estimate the parameters in the model. Elemental sets have been proposed as a computational device to approximate estimators in the areas of high breakdown regression and...

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Bibliographic Details
Published in:	Journal of the American Statistical Association Vol. 88; no. 422; pp. 580 - 589
Main Author:	Hawkins, Douglas M.
Format:	Journal Article
Language:	English
Published:	Alexandria, VA Taylor & Francis Group 01.06.1993 American Statistical Association Taylor & Francis Ltd
Subjects:	Algorithms Approximation Datasets Diagnostics Estimation methods Estimators Exact sciences and technology High breakdown Insect vectors Linear inference, regression Linear regression Mathematical vectors Mathematics Outliers Probability and statistics Robust estimation Sample mean Sample size Sciences and techniques of general use Statistics Theory and Methods Outlier Least squares method Estimator robustness Best estimation Median M estimation Multiple regression Elemental set method Mean square error
ISSN:	0162-1459, 1537-274X
Online Access:	Get full text
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