Estimating the number of species in a stochastic abundance model

Biometrics

Volumn 58, Issue 3, 2002, Pages 531-539

  Chao, Anne ^a   Bunge, John ^b  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b Department of Obstetrics Gynecology   (United States)

Author keywords

Animal abundance; Biodiversity; Diversity; Empirical Bayes; Maximum likelihood; Sample coverage; Species richness

Indexed keywords

BIODIVERSITY; ECOLOGY; MAXIMUM LIKELIHOOD ESTIMATION; POISSON DISTRIBUTION; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

ANIMAL ABUNDANCE; DIVERSITY; EMPIRICAL BAYES; MA XIMUM LIKELIHOODS; MAXIMUM-LIKELIHOOD; NUMBER OF SPECIES; POISSON PROCESS; SAMPLE COVERAGE; SPECIES RICHNESS; STOCHASTICS;

ANIMALS;

ABUNDANCE; BIODIVERSITY; MODEL;

ARTICLE; ASSAY; BAYES THEOREM; BIRD; BUTTERFLY; ECOLOGY; FRACTIONATION; INTERMETHOD COMPARISON; MALAYSIA; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; NONHUMAN; POISSON DISTRIBUTION; PROCESS DEVELOPMENT; SAMPLING; SEASON; SIMULATION; SPECIES DIFFERENCE; SPECIES ENDEMICITY; SPECIES RARITY; STOCHASTIC MODEL; UNITED STATES;

ANIMALIA; AVES; MARTES PENNANTI;

EID: 0036712327     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2002.00531.x     Document Type: Article

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