In:
Biometrical Journal, Wiley, Vol. 62, No. 4 ( 2020-07), p. 957-969
Abstract:
We propose a method for estimating the size of a population in a multiple record system in the presence of missing data. The method is based on a latent class model where the parameters and the latent structure are estimated using a Gibbs sampler. The proposed approach is illustrated through the analysis of a data set already known in the literature, which consists of five registrations of neural tube defects.
Type of Medium:
Online Resource
ISSN:
0323-3847
,
1521-4036
DOI:
10.1002/bimj.201900111
Language:
English
Publisher:
Wiley
Publication Date:
2020
detail.hit.zdb_id:
131640-0
detail.hit.zdb_id:
1479920-0
SSG:
12
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