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Nonparametric Estimation of Species Richness

Smith, Eric P., van Belle, Gerald·1984·Biometrics

Abstract

Two procedures, the jackknife and the bootstrap, are discussed as methods for estimating the number of species by the sampling of quadrats. Explicit formulas for both procedures are presented and evaluated under a model with a random distribution of individuals. The jackknife and bootstrap are shown to reduce the bias although they underestimate the actual number of species if there is a large number of rare species and the number of quadrats sampled is small. When a small number of quadrats is sampled, the jackknife is shown to give better estimates. When the number of quadrats is large, the jackknife tends to overestimate the number of species and the bootstrap performs better.

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Metadata

Authors
Smith, E. P., & van Belle, G.
Venue
Biometrics
Publisher
JSTOR
Published
1984-03
Volume
40
Issue
1
Pages
119
ISSN
0006-341X (ISSN-L)
OpenAlex
W2065684844
Cited by
645
References
0
FWCI
0.68
Type
journal article
Language
ca
Open access
closed

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CoChat. (2026). Citation check: Nonparametric Estimation of Species Richness. https://app.cochat.ai/papers/10.2307/2530750
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Smith, E. P., & van Belle, G. (1984). Nonparametric Estimation of Species Richness. Biometrics. https://doi.org/10.2307/2530750

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