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Professional paper

Asymptotic distributions of least square estimations in a regression model with singular errors

M. Benšić


Full text: english pdf 140 Kb

page 33-38

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Abstract

We study some problems of the parameter inference which are
in connection with wide sense stationary long memory processes.
Here we present the asymptotic behaviour of the corelation matrix
and the limit distributions of the LSE for the regression coefficients
in some types of linear models with singular Gaussian and non-Gaussian errors.

Keywords

least squares; asymptotic distributions; regression

Hrčak ID:

1846

URI

https://hrcak.srce.hr/1846

Publication date:

20.6.1996.

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