Incorporating cyclical effects and time-varying covariates in models for single-source capture-recapture data
Publication date
2017
Authors
Husken, T.F.
Cruyff, Maarten
Van der Heijden, P.G.M.
Editors
Grzegorczyk, M.
Ceoldo , G.
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Supervisors
DOI
Document Type
Part of book
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Abstract
The objective of capture-recapture analysis is to estimate the size of an elusive population, for which the zero-truncated Poisson model is a basic model. We extend this model to the more general recurrent events model to include cyclical eects and time-varying covariates. An application to police data on victims of domestic violence provides strong evidence for the presence of weekly and seasonal cyclical eects on the rate of police reports.
Keywords
single-source capture-recapture, cyclical effects, time-varying covariates, recurrent events model, zero-truncation, SDG 5 - Gender Equality, SDG 16 - Peace, Justice and Strong Institutions
Citation
Husken, T F, Cruyff, M J L F & van der Heijden, P G M 2017, Incorporating cyclical effects and time-varying covariates in models for single-source capture-recapture data. in M Grzegorczyk & G Ceoldo (eds), Proceedings of the 32 International Workshop on Statistical Modelling : Groningen, Netherlands, 3-7 July 2017. vol. 1, Groningen, pp. 311-316.