Comparing Nonparametric Estimators for the Number of Shared Species in Two Populations

نویسندگان

چکیده

It is often of interest to biologists evaluate whether two populations are alike with respect a similarity index; assessing the numbers shared species one way do this. In this study, we propose Turing-type estimators for probability discovering new and jackknife-type number in populations. We use computer simulation empirical data analysis proposed approach. The provide stable reliable estimates, both species. also compare estimates that using sample coverage estimate has better performance case even populations, while have smaller bias unbalanced When combined stopping rule based on observing species, confidence intervals can true close 0.95 all examples.

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ژورنال

عنوان ژورنال: Diversity

سال: 2022

ISSN: ['1424-2818']

DOI: https://doi.org/10.3390/d14040243