Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

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

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