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stat.ME2026
Weak Convergence and Gaussian Limits for a General-Dimensional Origin-Invariant Cramér--von Mises Statistic
Marco Mandap
We introduce a general-dimensional origin-invariant Cramér--von Mises statistic for testing complete spatial randomness, defined by averaging corner-oriented empirical-…
stat.ME2026
Detecting Distributional Differences in Spatially Correlated Multivariate Data via Kernel-Smoothed Rank-Based Empirical Copula Tests
Marco Mandap
Comparing multivariate yield quality distributions across spatially referenced agricultural fields is complicated by two pervasive features: non-normality and spatial autocorrelati…
stat.ME2024
A Rank-Based Test for Comparing Multiple Fields' Yield Quality Distributions Under Spatial Dependence
Marco Mandap
Comparing yield quality distributions across multiple agricultural fields is fundamental for evaluating management practices, yet it is complicated by two pervasive data characteri…