@misc{Ulrich_Werner_Estimating_1999,
 author={Ulrich, Werner},
 editor={Polish Academy of Sciences. Institute of Ecology},
 copyright={Creative Commons Attribution BY 3.0 PL license},
 address={Dziekanów Leśny},
 howpublished={online},
 year={1999},
 language={eng},
 abstract={A computer program was constructed that simulates large species assemblages (28 to 997 species) with various species-rank order distributions and degrees of aggregation of the species. From these model assemblages random samples were taken to study the performance of 14 estimators of species diversity. For 6 of the estimators correction factors are developed. In sufficiently large samples (more than 2/3 of the true species number (TS) sampled) a corrected second order jackknife estimator gave the best results. 18% of the estimates ranged outside TS ± 10%. If fewer species are represented in the sample (but more than 1/3 TS) two newly developed data analytical estimators performed better. Between 23 and 24%, respectively, of their estimates ranged outside TS ± 20%. Crucial to the performance of all of the estimators is the sample size. The minimum sample size for an estimator to work has to contain at least 1/3 of the total species number.},
 type={Text},
 title={Estimating species numbers by extrapolation. 1, Comparing the performance of various estimators using large model communities},
 URL={http://www.rcin.org.pl/Content/106123/PDF/WA058_90902_P2840-T47_Eko-Pol-A-Nr-3.pdf},
 volume={47},
 number={3},
 journal={Polish Journal of Ecology},
 publisher={Polish Academy of Sciences. Institute of Ecology. Publishing Office},
 keywords={model species assemblages, species diversity, jackknife-estimator, bootstrap-estimator, distribution, estimation, sampling, parametric models},
}