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Estimation of Similarity Indices via Two-Sample Jackknife Procedure

並列摘要


The similarity indices are often used to assess the biodiversity of two communities. Because some species are not observed in the samples, the common naive estimators may be unsatisfactory. Based on the quadrat sampling, a series of two-sample jackknife estimators for the Jaccard and Sørensen indices are developed. The sequence of estimators is able to reduce bias by increasing the jackknife order; however, it may result in a large variation with the increasing order. To compensate for the bias-variance trade-off, we consider a sequential testing procedure to select the jackknife order. A simulation study based on two real forest plots is used to evaluate the performance of the proposed method.

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