This paper proposes parametric and non-parametric hypothesis testing algorithms for detecting anisotropy -- rotational variance of the covariance function in random fields. Both algorithms are based on resampling mechanisms, which enable avoiding relying on asymptotic assumptions, as is common in previous algorithms. The algorithms' performance is illustrated numerically in simulation experiments and on real datasets representing a variety of potential challenges.

翻译：本文提出了用于检测厌食性激素的参数和非参数假设测试算法 -- -- 随机字段共变函数的旋转差异。两种算法都基于重新抽样机制,可以避免依赖无症状假设,如以前的算法中常见的那样。在模拟实验和代表各种潜在挑战的真实数据集中,用数字来说明算法的性能。