Proportion estimation with confidence limits

Journal of Microbiological Methods

Volumn 43, Issue 1, 2000, Pages 55-64

  Wilkins, M F ^a   Boddy, Lynne ^a   Morris, Colin W ^b  

^a CARDIFF UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF GLAMORGAN   (United Kingdom)

Author keywords

Bootstrap estimation; Monte Carlo techniques; Population composition estimation; Proportion estimation

Indexed keywords

ALGORITHM; ARTICLE; CALCULATION; FLOW CYTOMETRY; MATHEMATICAL ANALYSIS; NONHUMAN; PHYTOPLANKTON; POPULATION DYNAMICS; PRIORITY JOURNAL; TECHNIQUE;

CONFIDENCE INTERVALS; FLOW CYTOMETRY; NEURAL NETWORKS (COMPUTER); PROBABILITY;

EID: 0034564257     PISSN: 01677012     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-7012(00)00204-9     Document Type: Article

References (14)

1. The performance of quantitative scale pattern analysis in the identification of hatchery and wild steelhead (Oncorhynchus mykiss)
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3. The rapid analysis of single marine cells by flow cytometry
4. Simulation and application of stock composition estimators
5. Identification of stocks of Bristol Bay sockeye salmon, Oncorhynchus nerka, by evaluating scale patterns with a polynomial discriminant method
6. The jackknife, the bootstrap, and other resampling plans
7. An introduction to the bootstrap
8. Maximum likelihood estimation of mixed stock fishery composition
9. Comparison of methods for estimating mixed stock fishery composition
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11. Assessment of composition of stock mixtures
12. Neural network classifiers estimate Bayesian a posteriori probabilities
13. Identification of phytoplankton from flow cytometry data using radial basis function neural networks