Joining the incompatible: exploiting purposive lists for the sample-based estimation of species richness

DOI10.1214/17-AOAS1126zbMath1405.62166OpenAlexW2891869186MaRDI QIDQ1621012

Rosa Maria Di Biase, Caterina Pisani, Marzia Marcheselli, Alessandro Chiarucci, Lorenzo Fattorini

Publication date: 15 November 2018

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

Full work available at URL: https://projecteuclid.org/euclid.aoas/1536652970

zbMATH Keywords

simulationdifference estimatorprobabilistic samplingpurposive surveysupporting list

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)

Uses Software

• vegan
• EstimateS

Cites Work

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• An adaptive algorithm for estimating inclusion probabilities and performing the Horvitz-Thompson criterion in complex designs
• Model assisted survey sampling
• Resampling estimators of species richness from presence-absence data: Why they don't work
• Estimating the Population Size for Capture-Recapture Data with Unequal Catchability
• Log-Linear Models for Capture-Recapture
• Estimating the Number of Classes via Sample Coverage
• Thirty years of progeny from Chao’s inequality: Estimating and comparing richness with incidence data and incomplete sampling
• Estimating Population Size Via Sample Coverage for Closed Capture-Recapture Models
• Applying the Horvitz-Thompson criterion in complex designs: A computer-intensive perspective for estimating inclusion probabilities
• Estimation in Surveys with Nonresponse

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