## Abstract

Estimating the size of a hard-to-count population is a challenging matter. In particular, when only few observations of the population to be estimated are available. The matter gets even more complex when one-inflation occurs. This situation is illustrated with the help of two examples: the size of a dice snake population in Graz (Austria) and the number of flare stars in the Pleiades. The paper discusses how one-inflation can be easily handled in likelihood approaches and also discusses how variances and confidence intervals can be obtained by means of a semi-parametric bootstrap. A Bayesian approach is mentioned as well and all approaches result in similar estimates of the hidden size of the population. Finally, a simulation study is provided which shows that the unconditional likelihood approach as well as the Bayesian approach using Jeffreys’ prior perform favorable.

Originalsprache | englisch |
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Fachzeitschrift | Statistical Methods & Applications |

DOIs | |

Publikationsstatus | Veröffentlicht - 30 Jan 2021 |

## ASJC Scopus subject areas

- !!Statistics and Probability
- !!Statistics, Probability and Uncertainty