Penalized likelihood inference for the finite mixture of Poisson distributions from capture-recapture data
Author:
Funder
National Natural Science Foundation of China
National Key R &D Program of China
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s00362-023-01503-3.pdf
Reference29 articles.
1. Alaimo Di Loro P, Caruso G, Mingione M, et al (2022) Specification of informative priors for capture-recapture finite mixture models. Book of short paper–SIS
2. Alfò M, Böhning D, Rocchetti I (2021) Upper bound estimators of the population size based on ordinal models for capture-recapture experiments. Biometrics 77(1):237–248
3. Böhning D (2015) Power series mixtures and the ratio plot with applications to zero-truncated count distribution modelling. Metron 73(2):201–216
4. Böhning D, Kuhnert R (2006) Equivalence of truncated count mixture distributions and mixtures of truncated count distributions. Biometrics 62(4):1207–1215
5. Böhning D, Schön D (2005) Nonparametric maximum likelihood estimation of population size based on the counting distribution. J R Stat Soc C 54(4):721–737
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