A Comparison of Robust and Nonparametric Estimators under the Simple Linear Regression Model

A Comparison of Robust and Nonparametric Estimators under the Simple Linear Regression Model [electronic resource] / Jonathan Nevitt and Hak P. Tam.

This study investigates parameter estimation under the simple linear regression model for situations in which the underlying assumptions of ordinary least squares estimation are untenable. Classical nonparametric estimation methods are directly compared against some robust estimation methods for con...

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Bibliographic Details
Online Access: Full Text (via ERIC)
Main Author: Nevitt, Jonathan
Other Authors: Tam, Hak P.
Format: Electronic eBook
Language:English
Published: [S.l.] : Distributed by ERIC Clearinghouse, 1997.
Subjects:
Comparative Analysis.
Computer Simulation.
Error of Measurement.
Estimation (Mathematics)
Nonparametric Statistics.
Regression (Statistics)
Robustness (Statistics)
Sample Size.

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ED410289 Available

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