Knott, Martin

Number of items: 11.
Article
  • Moustaki, Irini, Knott, Martin (2014). Latent variable models that account for atypical responses. Journal of the Royal Statistical Society. Series C: Applied Statistics, 63(2), 343-360. https://doi.org/10.1111/rssc.12032
  • Knott, Martin, Smith, Cyril (2006). Choosing joint distributions so that the variance of the sum is small. Journal of Multivariate Analysis, 97(8), 1757-1765. https://doi.org/10.1016/j.jmva.2006.01.004
  • Knott, Martin (2005). A measure of independence for a multivariate normal distribution and some connections with factor analysis. Journal of Multivariate Analysis, 96(2), 374-383. https://doi.org/10.1016/j.jmva.2004.10.013
  • Hutchison, Dougal, Kendall, Lesley, Bartholomew, David J., Knott, Martin, Galbraith, Jane, Piccoli, Maria (2000). Reliability of assessment of reading ability in three countries. Quality and Quantity, 34(4), 353-366. https://doi.org/10.1023/A:1004766030974
  • Moustaki, Irini, Knott, Martin (2000). Generalised latent trait models. Psychometrika, 65(3), 391-411. https://doi.org/10.1007/BF02296153
  • Moustaki, Irini, Knott, Martin (2000). Weighting for item non-response in attitude scales by using latent variable models with covariates. Journal of the Royal Statistical Society. Series A: Statistics in Society, 163(3), 445-459. https://doi.org/10.1111/1467-985X.00177
    • Book
  • Bartholomew, David J., Knott, Martin, Moustaki, Irini (2011). Latent variable models and factor analysis: a unified approach. John Wiley & Sons.
  • Knott, Martin, Bartholomew, David J. (1999). Latent variable models and factor analysis. Edward Arnold.
    • Chapter
  • Mavridis, D, Moustaki, Irini, Knott, Martin (2007). Goodness-of-fit measures for latent variable models for binary data. In Lee, S. (Ed.), Handbook for Latent Variable and Related Models (pp. 135-162). Elsevier (Firm).
  • Moustaki, Irini, Knott, Martin (2005). Computational aspects of the E-M and Bayesian estimation in latent variable models. In Andries van der Ark, L., Croon, M. A. & Sijtsma, K. (Eds.), New Developments in Categorical Data Analysis for the Social and Behavioral Sciences (pp. 103-124). Lawrence Erlbaum.
  • Knott, Martin, Tzamourani, Panagiota (2002). Fully semiparametric estimation of the two-parameter latent trait model for binary data. In Marcoulides, G. A. & Moustaki, I. (Eds.), Latent Variable and Latent Structure Models (pp. 63-84). Lawrence Erlbaum Associates.