Point and interval estimation of the population size using the truncated Poisson regression model
By P. V. D. van der Heijden, R. Bustami, Maarten Cruyff, G. Engbersen, H. V. van Houwelingen. 2003
105 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/6c8eca772b4679f356d5bb38ef09d69fb5c40dee
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In Statistics and Probability
- Dankmar Böhning
- P. V. D. van der Heijden
- Dieter Schön
- S. Brittain
- Maarten Cruyff
- H. V. van Houwelingen
- Marco Alfò
- Antonello Maruotti
Citations in the corpus
- Estimating the Size of a Criminal Population from Police Records Using the Truncated Poisson Regression Model (2003, background): “Our early statistical work in criminology is also in this vein (VAN DER HEIJDEN et al., 1993; SMIT et al., 1993).”
- Nonparametric maximum likelihood estimation of population size based on the counting distribution (2005, methodology): “For confidence interval estimation bootstrap resampling techniques were used as described in van der Heijden et al. (2003a).”
- A covariate adjustment for zero-truncated approaches to estimating the size of hidden and elusive populations (2009, methodology): “For details about the data we refer to van der Heijden et al. (2003a). The observed frequencies for the covariate categories can be found in Table 5 and are reproduced from van der Heijden et al.”
- Estimators in capture–recapture studies with two sources (2009, methodology): “A relatively simple variance estimate can be found by applying a general technique suggested in Böhning (2008) (see also Van der Heijden et al. 2003) to the Zelterman estimator (which is identical here to Chao’s estimator) and leads to V̂ar(N̂Z) = f2θ̂2(θ̂ + 1)2 = f 2 1 4f2 ( f1 2f2 + 1 )2 .”