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Mixtures of conditional mean- and covariance-structure models

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  • Gerhard Arminger
  • Petra Stein
  • Jörg Wittenberg

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Suggested Citation

  • Gerhard Arminger & Petra Stein & Jörg Wittenberg, 1999. "Mixtures of conditional mean- and covariance-structure models," Psychometrika, Springer;The Psychometric Society, vol. 64(4), pages 475-494, December.
    • Handle: RePEc:spr:psycho:v:64:y:1999:i:4:p:475-494
    DOI: 10.1007/BF02294568
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    References listed on IDEAS

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    1. Kiefer, Nicholas M, 1978. "Discrete Parameter Variation: Efficient Estimation of a Switching Regression Model," Econometrica, Econometric Society, vol. 46(2), pages 427-434, March.
    2. G. J. McLachlan, 1987. "On Bootstrapping the Likelihood Ratio Test Statistic for the Number of Components in a Normal Mixture," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 36(3), pages 318-324, November.
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    Cited by:

    1. Marco Alfò & Lorenzo Carbonari & Giovanni Trovato, 2020. "On the Effects of Taxation on Growth: an Empirical Assessment," CEIS Research Paper 480, Tor Vergata University, CEIS, revised 08 May 2020.
    2. Fokoué, Ernest, 2005. "Mixtures of factor analyzers: an extension with covariates," Journal of Multivariate Analysis, Elsevier, vol. 95(2), pages 370-384, August.
    3. Bacci, Silvia & Bartolucci, Francesco & Pieroni, Luca, 2012. "A causal analysis of mother’s education on birth inequalities," MPRA Paper 38754, University Library of Munich, Germany.
    4. Wu, Qiang & Yao, Weixin, 2016. "Mixtures of quantile regressions," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 162-176.
    5. Temme, Dirk & Williams, John R. & Hildebrandt, Lutz, 2002. "Structural equation models for finite mixtures: Simulation results and empirical applications," SFB 373 Discussion Papers 2002,33, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    6. Roberts, Yvonne Humenay & English, Diana & Thompson, Richard & White, Catherine Roller, 2018. "The impact of childhood stressful life events on health and behavior in at-risk youth," Children and Youth Services Review, Elsevier, vol. 85(C), pages 117-126.
    7. Giuliano Galimberti & Lorenzo Nuzzi & Gabriele Soffritti, 2021. "Covariance matrix estimation of the maximum likelihood estimator in multivariate clusterwise linear regression," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(1), pages 235-268, March.
    8. Cecilie Thogersen-Ntoumani & Julie Black & Magnus Lindwall & Anna Whittaker & George M. Balanos, 2017. "Presenteeism, stress resilience, and physical activity in older manual workers: a person-centred analysis," European Journal of Ageing, Springer, vol. 14(4), pages 385-396, December.
    9. Walter Krämer, 2022. "Interview mit Gerhard Arminger," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 16(3), pages 287-294, December.
    10. Williams, John & Temme, Dirk & Hildebrandt, Lutz, 2002. "A Monte Carlo study of structural equation models for finite mixtures," SFB 373 Discussion Papers 2002,48, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    11. Erik Meijer & Susann Rohwedder & Tom Wansbeek, 2008. "Prediction of Latent Variables in a Mixture of Structural Equation Models, with an Application to the Discrepancy Between Survey and Register Data," Working Papers 584, RAND Corporation.
    12. Jolynn Pek & R. Philip Chalmers & Bethany E. Kok & Diane Losardo, 2015. "Visualizing Confidence Bands for Semiparametrically Estimated Nonlinear Relations Among Latent Variables," Journal of Educational and Behavioral Statistics, , vol. 40(4), pages 402-423, August.
    13. Cai, Jing-Heng & Song, Xin-Yuan & Lam, Kwok-Hap & Ip, Edward Hak-Sing, 2011. "A mixture of generalized latent variable models for mixed mode and heterogeneous data," Computational Statistics & Data Analysis, Elsevier, vol. 55(11), pages 2889-2907, November.
    14. Wu, Qiang & Sampson, Allan R., 2009. "Mixture modeling with applications in schizophrenia research," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2563-2572, May.
    15. Terry Elrod & Gerald Häubl & Steven Tipps, 2012. "Parsimonious Structural Equation Models for Repeated Measures Data, with Application to the Study of Consumer Preferences," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 358-387, April.
    16. Anders Skrondal & Sophia Rabe‐Hesketh, 2007. "Latent Variable Modelling: A Survey," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 34(4), pages 712-745, December.
    17. Ke-Hai Yuan & Peter Bentler & Wai Chan, 2004. "Structural equation modeling with heavy tailed distributions," Psychometrika, Springer;The Psychometric Society, vol. 69(3), pages 421-436, September.

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