Modelling escalation in crime seriousness: a latent variable approach
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DOI: 10.1007/s40300-015-0073-4
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- H. Holgersson, 2006. "A graphical method for assessing multivariate normality," Computational Statistics, Springer, vol. 21(1), pages 141-149, March.
- Francesco Bartolucci & Fulvia Pennoni & Brian Francis, 2007. "A latent Markov model for detecting patterns of criminal activity," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(1), pages 115-132, January.
- Eberly, Lynn E. & Thackeray, Lisa M., 2005. "On Lange and Ryan's plotting technique for diagnosing non-normality of random effects," Statistics & Probability Letters, Elsevier, vol. 75(2), pages 77-85, November.
- Bengt Muthén & Kerby Shedden, 1999. "Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm," Biometrics, The International Biometric Society, vol. 55(2), pages 463-469, June.
- Jacqmin-Gadda, Helene & Sibillot, Solenne & Proust, Cecile & Molina, Jean-Michel & Thiebaut, Rodolphe, 2007. "Robustness of the linear mixed model to misspecified error distribution," Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 5142-5154, June.
- Murray Aitkin, 1999. "A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models," Biometrics, The International Biometric Society, vol. 55(1), pages 117-128, March.
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Cited by:
- Marco Alfó & Francesco Bartolucci, 2015. "Latent variable models for the analysis of socio-economic data," METRON, Springer;Sapienza Università di Roma, vol. 73(2), pages 151-154, August.
- Suonpää, Karoliina & Aaltonen, Mikko & van der Geest, Victor, 2020. "Crime and income trajectories preceding lethal and non-lethal violence," Journal of Criminal Justice, Elsevier, vol. 68(C).
- Yannick V. Markhof, 2020. "Divide to Conquer? Latent Preference Types and Country-level Heterogeneity," CSAE Working Paper Series 2020-05, Centre for the Study of African Economies, University of Oxford.
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Keywords
Escalation; Aggravation; Longitudinal data analysis; Latent variable methods; Heterogeneity; Group-based trajectory modelling; Growth mixture modelling; Criminal careers; Comparative study;All these keywords.
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