TY - JOUR
AU - Smith, Christina D.
AU - Pontius, Jeffrey S.
PY - 2005/12/05
Y2 - 2022/11/30
TI - Jackknife Estimator of Species Richness with S-PLUS
JF - Journal of Statistical Software
JA - J. Stat. Soft.
VL - 15
IS - 3
SE - Articles
DO - 10.18637/jss.v015.i03
UR - https://www.jstatsoft.org/index.php/jss/article/view/v015i03
SP - 1 - 12
AB - An estimate of the number of species, S , usually called species richness by ecologists, in an area is one of the basic statistics used to ascertain biological diversity. Traditionally ecologists have used the number of species observed in a sample, S<sub>0</sub> , to estimate S , realizing that S<sub>0</sub> is a lower bound for S . One alternative to S<sub>0</sub> is to use a nonparametric procedure such as jackknife resampling. For species richness, a closed form of the jackknife estimator is available. Typically statistical software contains only the traditional iterative form of the jackknife estimator. The purpose of this article is to propose an S-PLUS function for calculating the noniterative first order jackknife estimator of species richness and some associated plots and statistics.
ER -