A unified approach for the nonparametric species richness estimation

• Main Authors: Yi-Jou Chang, 張儀柔
• Other Authors: 黃文瀚
• Format: Others
• Language: en_US
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/94544252148800328153

碩士 === 國立中興大學 === 應用數學系所 === 96 === Estimation of species richness in a local community is usually an important issue for ecologists or biologists. Nowadays lots of scientists have been paying attention to this topic very much. In this paper, our concern is how to estimate the number of species (species richness) in a community. The generalized jackknife approach is of great use to lessening the magnitude of bias of an estimator. Using this approach, some popular richness estimators would be uni‾ed into a form of a speci‾c frame- work. Speci‾cally, these estimators include the estimators by sample coverage, the bootstrap estimator, and the Chao1 estimator. In addition, we also develop some new estimators based on the same framework. A simulation study and some real data analyses were carried out to evaluate the performance of all estimators we con- cern.