The aim of the paper is to give an estimate of the population size when neither a complete list nor some incomplete lists are available and the population is partially undetectable. In such a framework the center sampling technique proves an essential tool. A first estimate relies on the likelihood approach assuming the complete detectability of the units. Then, this unrealistic hypothesis is removed introducing a prior distribution on detectability, so that a second estimate is given resorting to integrated likelihood. Finally, the previous estimates are compared through a simulation study.
Migliorati, S., Terzera, L. (2002). UNA PROPOSTA DI STIMA DELLA NUMEROSITA’ NEL CAMPIONAMENTO PER CENTRI. STATISTICA, LXII(4), 715-731.
UNA PROPOSTA DI STIMA DELLA NUMEROSITA’ NEL CAMPIONAMENTO PER CENTRI
MIGLIORATI, SONIA;TERZERA, LAURA
2002
Abstract
The aim of the paper is to give an estimate of the population size when neither a complete list nor some incomplete lists are available and the population is partially undetectable. In such a framework the center sampling technique proves an essential tool. A first estimate relies on the likelihood approach assuming the complete detectability of the units. Then, this unrealistic hypothesis is removed introducing a prior distribution on detectability, so that a second estimate is given resorting to integrated likelihood. Finally, the previous estimates are compared through a simulation study.
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