On the classification error rates in terms of semivariograms for Gaussian universal kriging models
Articles
Kęstutis Dučinskas
Klaipeda University
Lina Dreižienė
Vilniaus University, Klaipeda State University of Applied Sciences
Published 2021-12-30
https://doi.org/10.15388/LJS.2021.26442
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Keywords

pairwise discriminant function
semivariogram
actual error rate

How to Cite

Dučinskas K. and Dreižienė L. (2021) “On the classification error rates in terms of semivariograms for Gaussian universal kriging models”, Lithuanian Journal of Statistics, 60, pp. 1–7. doi: 10.15388/LJS.2021.26442.

Abstract

Bayes multiclass classification of spatial Gaussian data following the universal kriging model is considered. The closed-form expressions for the maximum likelihood (ML) estimator of regression parameters and the actual error rate (AER) in terms of semivariograms are derived.

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