Classes latentes e misturas
8 métodos nesta família.
Em destaque
Análise de Classes Latentes (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 isAnálise de Perfil Latente (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 Análise de Transição LatenteLatent 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 (gAnálise de Classes Latentes (ACL)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 caModelagem de MisturasMixture 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 frAnálise Robusta de Classes LatentesRobust latent class analysis (robust LCA) extends the standard latent class model by incorporating outlier-resistant estimation techniques — such as trimmed likelihood, M-estimatio
Percurso de leitura
Os métodos fundamentais mais referenciados deste tópico, pela ordem em que foram desenvolvidos — um ponto de partida se está a começar agora.