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Results for latent class analysis

Publications & Outputs

  1. Statistical modelling of a terrorist network

    Aitkin, M., Vu, D. & Francis, B. J., 06/2017, In : Journal of the Royal Statistical Society: Series A Statistics in Society. 180, 3, p. 751-768 18 p.

    Research output: Contribution to journalJournal article

  2. A new Bayesian approach for determining the number of components in a finite mixture

    Aitkin, M., Vu, D. & Francis, B., 21/08/2015, In : Metron. 73, 2, p. 155-175 21 p.

    Research output: Contribution to journalJournal article

  3. Not quite normal: Consequences of violating the assumption of normality with regression mixture models

    Van Horn, M. L., Smith, J., Fagan, A., Jaki, T., Maysn, K., Hawkins, D., Feaster, D. & Howe, G., 2012, In : Structural Equation Modeling. 19, 2, p. 227-249 23 p.

    Research output: Contribution to journalJournal article

  4. Modeling heterogeneity in ranked responses by nonparametric maximum likelihood: How do Europeans get their scientific knowledge?

    Francis, B., Dittrich, R. & Hatzinger, R., 2010, In : Annals of Applied Statistics. 4, 4, p. 2181-2202 22 p.

    Research output: Contribution to journalJournal article

  5. Older People and Dissatisfaction with Wheelchair Services.

    Stewart, J., Sapey, B., Humphreys, L., Francis, B. & Donaldson, G., 03/2008, In : Scandinavian Journal of Disability Research. 10, 1, p. 17-28 12 p.

    Research output: Contribution to journalJournal article

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  1. New models and analyses for social networks and criminological careers

    Aitkin, M., Francis, B. & Pattison, P.

    1/03/1231/12/16

    Project: NonFunded ProjectResearch