Estimating the Size of a Criminal Population from Police Records Using the Truncated Poisson Regression Model

By P. V. D. van der Heijden, Maarten Cruyff, H. V. van Houwelingen. 2003

83 citations recorded by the source corpus.

Subfields: Epidemiology, Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/60a05b82dee0ea8636e3b0c13b589a3400614c28

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Epidemiology

1. Dankmar Böhning
2. P. V. D. van der Heijden

In Sociology and Political Science

1. Dankmar Böhning
2. P. V. D. van der Heijden

In Statistics and Probability

1. Dankmar Böhning
2. P. V. D. van der Heijden
3. Maarten Cruyff
4. H. V. van Houwelingen
5. Dieter Schön
6. S. Brittain
7. Marco Alfò
8. Antonello Maruotti

Citations in the corpus

• A covariate adjustment for zero-truncated approaches to estimating the size of hidden and elusive populations (2009, methodology): “An application of the multivariate δ-method as done by van der Heijden et al. (2003a) provides (∑ i ∇wi(β̂)T ) Cov(β̂) (∑ i ∇wi(β̂) ) ,(A.4) where ∇wi(β̂) = (1−wi)vi w2i xi.”
• Point and interval estimation of the population size using the truncated Poisson regression model (2003, background): “Email: p.vanderHeijden@fss.uu.nl # Arnold 2003 10.1191=1471082X03st057oa The Netherlands based on police records on the number of apprehended individuals (Van der Heijden et al., 2003).”