Robusta latentā profila analīze
Robust latent profile analysis identifies latent subgroups of individuals based on their continuous multivariate indicators while protecting parameter estimates from distortion by outliers or atypical observations. It extends standard latent profile analysis by replacing the Gaussian component densities with heavier-tailed or contaminated-normal alternatives that down-weight extreme cases during estimation.
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Avoti
- Vermunt, J. K. & Magidson, J. (2002). Latent class cluster analysis. In J. A. Hagenaars & A. L. McCutcheon (Eds.), Applied Latent Class Analysis (pp. 89–106). Cambridge University Press. ISBN: 978-0521594035
- Punzo, A. & McNicholas, P. D. (2016). Robust clustering in regression analysis via the contaminated Gaussian cluster-weighted model. Journal of Classification, 33(2), 293–331. DOI: 10.1007/s00357-017-9234-x ↗
Kā citēt šo lapu
ScholarGate. (2026, June 3). Robust Latent Profile Analysis. ScholarGate. https://scholargate.app/lv/statistics/robust-latent-profile-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Latent Class Analysis (LCA)Statistika↔ compare
- Latent Profile Analysis (LPA)Psihometrija↔ compare
- Jaukto sadalījumu modelēšanaStatistika↔ compare
- Robustā latento klašu analīzeStatistika↔ compare
- Robusta maisījumu modelēšanaStatistika↔ compare
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