Estimating diversity via frequency ratios

Biometrics

Volumn 71, Issue 4, 2015, Pages 1042-1049

  Willis, Amy ^a   Bunge, John ^a  

^a Cornell University ^*  (United States)

Author keywords

Alpha diversity; Biodiversity; Capture recapture; Characterization of distributions; Microbial ecology; Species richness

Indexed keywords

ECOLOGY; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS;

ALPHA DIVERSITY; CAPTURE-RECAPTURE; CHARACTERIZATIONS OF DISTRIBUTIONS; FREQUENCY COUNTS; FREQUENCY RATIOS; MICROBIAL ECOLOGY; NONLINEAR REGRESSION MODELS; NUMBER OF CLASS; PROBABILITY THEORY; SPECIES RICHNESS;

BIODIVERSITY;

BIODIVERSITY; ERROR ANALYSIS; FREQUENCY ANALYSIS; MARK-RECAPTURE METHOD; MICROBIAL ECOLOGY; NONLINEARITY; POISSON RATIO; POPULATION DISTRIBUTION; POPULATION ESTIMATION; PROBABILITY; REGRESSION ANALYSIS; SPECIES RICHNESS;

BIODIVERSITY; BIOMETRY; COMPUTER SIMULATION; GENETIC DATABASE; HIGH THROUGHPUT SEQUENCING; MICROBIAL CONSORTIUM; NONLINEAR SYSTEM; PROBABILITY THEORY; PROCEDURES;

BIODIVERSITY; BIOMETRY; COMPUTER SIMULATION; DATABASES, GENETIC; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; MICROBIAL CONSORTIA; NONLINEAR DYNAMICS; PROBABILITY THEORY;

EID: 84955281361     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12332     Document Type: Article

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