Hypothesis testing with Rao's quadratic entropy and its application to Dinosaur biodiversity

被引:2
|
作者
Zhao, Yueqin [2 ]
Naik, Dayanand N. [1 ]
机构
[1] Old Dominion Univ, Dept Math & Stat, Norfolk, VA 23529 USA
[2] Eastern Virginia Med Sch, Grad Program Publ Hlth, Norfolk, VA 23501 USA
关键词
practical equivalence; bootstrap; variance stabilization; Gini-Simpson index; Shannon entropy; DIVERSITY;
D O I
10.1080/02664763.2012.663347
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Entropy indices, such as Shannon entropy and Gini-Simpson index, have been used for analysing biological diversities. However, these entropy indices are based on abundance of the species only and they do not take differences between the species into consideration. Rao's quadratic entropy has found many applications in different fields including ecology. Further, the quadratic entropy (QE) index is the only ecological diversity index that reflects both the differences and abundances of the species. The problem of testing of hypothesis of the equality of QEs is formulated as a problem of comparing practical equivalence intervals. Simulation experiments are used to compare various equivalence intervals. Previously analyzed dinosaur data are used to illustrate the methods for determining biodiversity.
引用
收藏
页码:1667 / 1680
页数:14
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