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The resampling of entropies with the application of biodiversity

机译:利用生物多样性对熵进行重采样

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This paper discusses the bootstrap test of entropies. Since the comparison of entropies is of prime interest in applied fields, finding an appropriate way to carry out such a comparison is of utmost importance. This paper presents how resampling should be performed to obtain an accurate p-value. Although the test using a pair-wise bootstrap confidence interval (CI) has already been dealt with in few works, here the bootstrap tests are studied because it may demand quite a different resampling algorithm compared with the CI. Moreover, the multiple test is studied. The proposed tests appear to yield several appreciable advantages. The easy implementation and the power of the proposed test can be considered as advantages. Here the entropy of the discrete variable is studied. The proposed tests are examined using Monte Carlo investigations and also evaluated using various distributions.
机译:本文讨论了熵的自举检验。由于熵的比较是应用领域中的头等大事,因此找到一种合适的方法进行这种比较至关重要。本文介绍了应如何执行重采样以获得准确的p值。尽管在很少的工作中已经处理了使用成对的自举置信区间(CI)进行的测试,但是在这里研究自举测试是因为与CI相比,它可能需要完全不同的重采样算法。此外,还对多重测试进行了研究。拟议的测试似乎产生了一些明显的优势。易于实施和提议的测试功能可以视为优势。这里研究离散变量的熵。建议的测试使用蒙特卡洛调查进行检查,并使用各种分布进行评估。

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