Hierarchical modeling of cluster size in wildlife surveys

DOI10.1198/108571108X273188zbMath1306.62331WikidataQ57878119 ScholiaQ57878119MaRDI QIDQ2259844

J. Andrew Royle

Publication date: 5 March 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

zbMATH Keywords

random effectsdistance samplingmixture modelshierarchical modelscompound Poisson distributionabundance estimationgroup sizeNeyman type A distributioncluster size biasdouble-observer sampling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Sampling theory, sample surveys (62D05)

Related Items (2)

Sample size calculations for hierarchical Poisson and zero-inflated Poisson regression models ⋮ Models for Estimating Abundance from Repeated Counts of an Open Metapopulation

Uses Software

• R

Cites Work

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• Incorporating Covariates into Standard Line Transect Analyses
• N ‐Mixture Models for Estimating Population Size from Spatially Replicated Counts
• Logistic Regression in Capture-Recapture Models
• Analysis of Capture–Recapture Models with Individual Covariates Using Data Augmentation
• On the statistical analysis of capture experiments
• Weighted Distributions and Size-Biased Sampling with Applications to Wildlife Populations and Human Families

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