Modeling the visibility distribution for respondent-driven sampling with application to population size estimation
Author:
Affiliation:
1. Department of Statistics, Oregon State University
2. LGJ Consultants, Inc
3. National Institute of Public Health of Kosovo
4. Community Development Fund
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability
Reference47 articles.
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2. R Core Team (2020). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
3. RUBIN, D. B. (1984). Bayesianly justifiable and relevant frequency calculations for the applied statistician. Ann. Statist. 12 1151–1172.
4. Plummer, M., Best, N., Cowles, K. and Vines, K. (2006). CODA: Convergence diagnosis and output analysis for MCMC. R News 6 7–11.
5. ANDREATTA, G. and KAUFMAN, G. M. (1986). Estimation of finite population properties when sampling is without replacement and proportional to magnitude. J. Amer. Statist. Assoc. 81 657–666.
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