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Article Dans Une Revue Environmetrics Année : 2015

Nonparametric species richness estimation under convexity constraint

Résumé

We consider the estimation of the number N of present species in a given area at a given time, based on the abundances of species that have been observed. We adopt a nonparametric approach where the true abundance distribution p is only supposed to be convex. A definition for convex abundance distributions is proposed. A least-squares estimate of the truncated version of p under the convexity constraint is used. Two estimators of N are deduced, the asymptotic distribution of which are derived. We propose three different procedures, including a bootstrap one, to obtain a confidence interval for N and a standard error for its estimator. The performances of the estimators are assessed in a simulation study and compared with competitors. The proposed method is illustrated on several examples.
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Dates et versions

hal-01250079 , version 1 (04-01-2016)

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Cécile Durot, Sylvie Huet, François Koladjo, Stéphane Robin. Nonparametric species richness estimation under convexity constraint. Environmetrics, 2015, 26 (7), pp.502-513. ⟨10.1002/env.2352⟩. ⟨hal-01250079⟩
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