A modified bootstrap procedure for cluster sampling variance estimation of species richness

DOI10.1080/02664763.2010.491861OpenAlexW2077523965MaRDI QIDQ5124841

Steen Magnussen, Ron McRoberts

Publication date: 30 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2010.491861

zbMATH Keywords

coveragebiodiversitytree speciesspecies occurrenceforest vegetation surveyspecies covariance

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• bootstrap

Cites Work

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• Estimating the number of classes
• Model assisted survey sampling
• Resampling estimators of species richness from presence-absence data: Why they don't work
• Modelling and generating correlated binary variables
• Small-Sample Estimation of Species Richness Applied to Forest Communities
• Estimating the Prediction Function and the Number of Unseen Species in Sampling with Replacement
• Estimating the Number of Classes via Sample Coverage
• Estimation of the size of a closed population when capture probabilities vary among animals
• Invited Discussion Paper Resampling Methods in Sample Surveys
• A Survey of Methods for Analyzing Clustered Binary Response Data
• On the Assessment of Monte Carlo Error in Simulation-Based Statistical Analyses
• Correlation and Large-Scale Simultaneous Significance Testing
• An Estimator of Number of Species from Quadrat Sampling
• Estimating the Species Accumulation Curve Using Mixtures
• More Efficient Bootstrap Computations

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