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標題: 非參數種類豐富度之估計整合方法
A unified approach for the nonparametric species richness estimation
作者: 張儀柔
Chang, Yi-Jou
關鍵字: species richness;物種豐富度;generalized jackknife method;sample coverage;quadrat sampling;廣義摺刀估計;樣本涵蓋;區塊抽樣
出版社: 應用數學系所
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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 unied into a form of a specic frame-
work. Specically, 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-
其他識別: U0005-2706200815535300
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