Maximum likelihood estimation of the linear model with equicorrelated errors

Abstract.: We provide a simple proof that the maximum-likelihood estimator in the linear model with equicorrelated errors does not exist, and explain why not.

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Publication Details

Journal
Communication in Statistics- Theory and Methods
Published
2025-02-13
DOI
https://doi.org/10.1080/03610926.2025.2455939
Primary Topic
Advanced Statistical Methods and Models
Type
article
Field-Weighted Citation Impact
0.00
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article

Maximum likelihood estimation of the linear model with equicorrelated errors

Giuseppe De Luca, Andrey L. Vasnev, Jan R. Magnus
Communication in Statistics- Theory and Methods
Advanced Statistical Methods and Models
article

Maximum likelihood estimation of the linear model with equicorrelated errors

Giuseppe De Luca, Andrey L. Vasnev, Jan R. Magnus
article en

Abstract

Abstract.: We provide a simple proof that the maximum-likelihood estimator in the linear model with equicorrelated errors does not exist, and explain why not.

Communication in Statistics- Theory and MethodsVol. 54(19)
The University of Sydney (AU), Tinbergen Institute (NL), Vrije Universiteit Amsterdam (NL)
Openalex Percentile: Top 97%
Advanced Statistical Methods and Models
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