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 populution 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 integrate likelihood. Finally, the previous estimates are compared through a simulation study
The theoretical framework of estimating the population totals from the Census, Survey and an Adminis...
Per capita entry probabilities for the first primary period are not included, due to lack of interpr...
Error bars show the 2.5 and 97.5 percentiles of the posterior distribution (95% CI). *No surveys con...
For many aspects knowing the number of clandestine immigrants in the same country is very important....
The estimation of the size of an elusive population is a problem frequently addressed in many fiels ...
The center sampling technique is well suited when a population is naturally gathered in overlapping ...
The estimation of the size of an elusive population is a frequently addressed problem in many fields...
Center sampling is useful in finite population surveys when exhaustive lists of all units are not av...
The problem of the estimation of the size of an immigrant population is very important in many count...
This paper considers the problem of estimating the population total when the population size is unkn...
We discuss Bayesian log-linear models for incomplete contingency tables with both missing and interv...
The main purpose of this paper is using capture-recapture data to estimate the population size when ...
We propose a likelihood ratio test to assess that sampling has been completed in closed population s...
La stima della numerosit`a di una popolazione `e un problema comune a vari ambiti di applicazione. L...
Sample size reduction in marketing research is one of the most important aims of researchers and exp...
The theoretical framework of estimating the population totals from the Census, Survey and an Adminis...
Per capita entry probabilities for the first primary period are not included, due to lack of interpr...
Error bars show the 2.5 and 97.5 percentiles of the posterior distribution (95% CI). *No surveys con...
For many aspects knowing the number of clandestine immigrants in the same country is very important....
The estimation of the size of an elusive population is a problem frequently addressed in many fiels ...
The center sampling technique is well suited when a population is naturally gathered in overlapping ...
The estimation of the size of an elusive population is a frequently addressed problem in many fields...
Center sampling is useful in finite population surveys when exhaustive lists of all units are not av...
The problem of the estimation of the size of an immigrant population is very important in many count...
This paper considers the problem of estimating the population total when the population size is unkn...
We discuss Bayesian log-linear models for incomplete contingency tables with both missing and interv...
The main purpose of this paper is using capture-recapture data to estimate the population size when ...
We propose a likelihood ratio test to assess that sampling has been completed in closed population s...
La stima della numerosit`a di una popolazione `e un problema comune a vari ambiti di applicazione. L...
Sample size reduction in marketing research is one of the most important aims of researchers and exp...
The theoretical framework of estimating the population totals from the Census, Survey and an Adminis...
Per capita entry probabilities for the first primary period are not included, due to lack of interpr...
Error bars show the 2.5 and 97.5 percentiles of the posterior distribution (95% CI). *No surveys con...