Population size estimation based upon zero-truncated, one-inflated and sparse count data
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DOI: 10.1007/s10260-021-00556-8
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References listed on IDEAS
- Ryan T. Godwin & Dankmar Böhning, 2017. "Estimation of the population size by using the one-inflated positive Poisson model," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 425-448, February.
- Anne Chao & John Bunge, 2002. "Estimating the Number of Species in a Stochastic Abundance Model," Biometrics, The International Biometric Society, vol. 58(3), pages 531-539, September.
- D. J. Venzon & S. H. Moolgavkar, 1988. "A Method for Computing Profile‐Likelihood‐Based Confidence Intervals," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 37(1), pages 87-94, March.
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Keywords
Capture–recapture; Zero-truncation; One-inflation;All these keywords.
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