Modelling escalation in crime seriousness: a latent variable approach

DOI10.1007/s40300-015-0073-4zbMath1329.62476OpenAlexW1683157084MaRDI QIDQ497104

Brian Francis, JiaYi Liu

Publication date: 23 September 2015

Published in: Metron (Search for Journal in Brave)

Full work available at URL: https://eprints.lancs.ac.uk/id/eprint/75121/1/escalation_GMM_submitTOMetron_revision_6_August_BJF_.pdf

zbMATH Keywords

escalationheterogeneitylongitudinal data analysiscomparative studylatent variable methodsaggravationcriminal careersgroup-based trajectory modellinggrowth mixture modelling

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25)

Related Items (1)

Latent variable models for the analysis of socio-economic data

Uses Software

• R
• S-PLUS
• Proc Traj
• Latent GOLD
• lcmm

Cites Work

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• Random-Effects Models for Longitudinal Data
• A graphical method for assessing multivariate normality
• Robustness of the linear mixed model to misspecified error distribution
• Assessing normality in random effects models
• On Lange and Ryan's plotting technique for diagnosing non-normality of random effects
• Latent Markov Models for Longitudinal Data
• Conditioning in the growth curve model
• A Linear Mixed-Effects Model With Heterogeneity in the Random-Effects Population
• Estimation of Growth Curve Models with Structured Error Covariances by Generalized Estimating Equations
• An extension of the growth curve model
• An Algorithm for Least-Squares Estimation of Nonlinear Parameters
• A two-stage model for growth curves which leads to Rao's covariance adjusted estimators
• Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
• Mixed-Effects Models in S and S-PLUS
• A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models
• Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm
• The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves
• A Characterization of the Normal Distribution
• Linear mixed models for longitudinal data

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