Title

Strong Consistency In Nonlinear Regression With Multiplicative Error

Keywords

and Phrases; compactness; multiplicative error; nonlinear regression; p-estimators; strong consistency

Abstract

Sufficient conditions are given to ensure the existence of a sequence of strongly consistent estimators of the true parameter for a nonlinear regression model naving random regressors and a multiplicative disturbance term. Special cases of this result include the least absolute value and the least squares estimation procedures. © 1992, Taylor & Francis Group, LLC. All rights reserved.

Publication Date

1-1-1992

Publication Title

Communications in Statistics - Theory and Methods

Volume

21

Issue

10

Number of Pages

2825-2831

Document Type

Article

Identifier

scopus

Personal Identifier

scopus

DOI Link

https://doi.org/10.1080/03610929208830946

Socpus ID

84892849355 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84892849355

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