Latentní třídy a směsové modely
8 — metody v této rodině.
Vybrané
Latent Class Analysis (LCA)Latent class analysis identifies unobserved subgroups — latent classes — within a population by finding patterns of responses across a set of categorical observed indicators. It isLatent Profile Analysis (LPA)Latent Profile Analysis (LPA) is a person-centered finite mixture modeling technique that identifies unobserved subgroups — called profiles — within a population based on patterns Latentní analýza přechodůLatent Transition Analysis (LTA) is a method for studying transitions between latent classes over time, developed by Collins and Lanza (2010). LTA combines latent class analysis (gAnalýza latentních tříd (LCA)Latent class analysis is a probabilistic model-based clustering technique that identifies unobserved subgroups — latent classes — within a population on the basis of patterns of caModelování směsíMixture modeling assumes that a population is composed of K unobserved subpopulations, each described by its own probability distribution. The observed data are treated as draws frRobustní latentní klasová analýzaRobust latent class analysis (robust LCA) extends the standard latent class model by incorporating outlier-resistant estimation techniques — such as trimmed likelihood, M-estimatio
Cesta četby
Nejčastěji odkazované základní metody tohoto tématu v pořadí, v jakém vznikaly — místo, kde začít, pokud jste tu nově.