2012
DOI: 10.1371/journal.pone.0034179
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Estimating the Richness of a Population When the Maximum Number of Classes Is Fixed: A Nonparametric Solution to an Archaeological Problem

Abstract: BackgroundEstimating assemblage species or class richness from samples remains a challenging, but essential, goal. Though a variety of statistical tools for estimating species or class richness have been developed, they are all singly-bounded: assuming only a lower bound of species or classes. Nevertheless there are numerous situations, particularly in the cultural realm, where the maximum number of classes is fixed. For this reason, a new method is needed to estimate richness when both upper and lower bounds … Show more

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Cited by 54 publications
(42 citation statements)
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“…This, of course, is not to say that Clovis colonizing foragers had no knowledge of the area whatsoever. Instead, it is entirely possible that a "working knowledge" of the area had been hitherto achieved through earlier scouting trips aimed to target desirable resource areas (Dincauze, 1993;Ellis, 2011;Eren, 2011;Eren et al, 2012).…”
Section: Discussionmentioning
confidence: 99%
“…This, of course, is not to say that Clovis colonizing foragers had no knowledge of the area whatsoever. Instead, it is entirely possible that a "working knowledge" of the area had been hitherto achieved through earlier scouting trips aimed to target desirable resource areas (Dincauze, 1993;Ellis, 2011;Eren, 2011;Eren et al, 2012).…”
Section: Discussionmentioning
confidence: 99%
“…Here sample coverage (or simply coverage ) is an objective measure of sample completeness originally developed by the founder of modern computer science, Alan Turing, and his colleague I. J. Good545556 (see ref. 41 for details). The estimated coverage values in Table 1a were obtained by an estimator57 that is more accurate than Turing’s original estimator.…”
Section: Discussionmentioning
confidence: 99%
“…8.0;Colwell 2006). The Chao 1 estimator is widely accepted as reliable in biodiversity studies since this estimator uses information on the number of rare or infrequent species in the collection to estimate the number of undetected species (Chao et al 2009;Colwell et al 2012;Eren et al 2012).…”
Section: Discussionmentioning
confidence: 99%