Capture–Recapture Estimation by Means of Empirical Bayesian Smoothing with an Application to the Geographical Distribution of Hidden Scrapie in Great Britain
From MaRDI portal
Publication:3096927
DOI10.1111/j.1467-9876.2011.01018.xzbMath1225.62154OpenAlexW1969619191MaRDI QIDQ3096927
Ronny Kuhnert, Victor Javier Del Rio Vilas, Dankmar Boehning
Publication date: 15 November 2011
Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-9876.2011.01018.x
Applications of statistics to environmental and related topics (62P12) Empirical decision procedures; empirical Bayes procedures (62C12)
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- An exponential partial prior for improving nonparametric maximum likelihood estimation in mixture models
- A simple variance formula for population size estimators by conditioning
- The geometry of mixture likelihoods, part II: The exponential family
- Robust estimation in truncated discrete distributions with application to capture-recapture experiments
- Estimating the hidden number of scrapie affected holdings in Great Britain using a simple, truncated count model allowing for heterogeneity
- Mixture Models for Estimating the Size of a Closed Population When Capture Rates Vary among Individuals
- Estimating Population Size for Sparse Data in Capture-Recapture Experiments
- Estimating the Population Size for Capture-Recapture Data with Unequal Catchability
- Nonidentifiability of Population Size from Capture‐Recapture Data with Heterogeneous Detection Probabilities
- Capture-recapture estimation with samples of size one using frequency data
- Applied Spatial Statistics for Public Health Data
- Equivalence of Truncated Count Mixture Distributions and Mixtures of Truncated Count Distributions
- A Penalized Nonparametric Maximum Likelihood Approach to Species Richness Estimation
- THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS