Article
Version 1
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Statistical Inference for Interval-Valued Spatial Error Models
Version 1
: Received: 22 December 2023 / Approved: 22 December 2023 / Online: 22 December 2023 (08:18:03 CET)
How to cite: Guan, L.; Zhou, H.; Zhang, W. Statistical Inference for Interval-Valued Spatial Error Models. Preprints 2023, 2023121715. https://doi.org/10.20944/preprints202312.1715.v1 Guan, L.; Zhou, H.; Zhang, W. Statistical Inference for Interval-Valued Spatial Error Models. Preprints 2023, 2023121715. https://doi.org/10.20944/preprints202312.1715.v1
Abstract
In this paper, we shall introduce the interval-valued spatial error model. Based on the idea of least square method of single-valued case, we give the parameter estimator for interval-valued spatial error model. The theoretical properties of the proposed estimator are proved. Finally, we give the numerical analysis and a real example.
Keywords
Interval-valued random variable, Spatial error model, Parameter estimator
Subject
Computer Science and Mathematics, Probability and Statistics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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