On the Strong Consistency of M-Estimates in Linear Models for Negatively Superadditive Dependent Errors

On the Strong Consistency of M-Estimates in Linear Models for Negatively Superadditive Dependent Errors

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Article ID: iaor201526710
Volume: 57
Issue: 2
Start Page Number: 259
End Page Number: 274
Publication Date: Jun 2015
Journal: Australian & New Zealand Journal of Statistics
Authors: ,
Keywords: statistics: regression
Abstract:

In this paper we discuss the strong consistency of M‐estimates of the regression parameters in a linear model with negatively superadditive dependent (NSD) random errors. The result improves the moment condition and generalises the case of independent random errors to that of NSD random errors.

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