- latent class analysis
- Статистика: анализ латентных классов (факторный анализ для категорийных переменных, используется для нахождения скрытых конструкций внутри множества переменных)
Универсальный англо-русский словарь. Академик.ру. 2011.
latent class analysis
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Latent class model — In statistics, a latent class model (LCM) relates a set of observed discrete multivariate variables to a set of latent variables. It is a type of latent variable model. It is called a latent class model because the latent variable is discrete. A… … Wikipedia
Probabilistic latent semantic analysis — (PLSA), also known as probabilistic latent semantic indexing (PLSI, especially in information retrieval circles) is a statistical technique for the analysis of two mode and co occurrence data. PLSA evolved from Latent semantic analysis, adding a… … Wikipedia
Latent variable model — A latent variable model is a statistical model that relates a set of variables (so called manifest variables ) to set of latent variables. It is assumed that 1) the responses on the indicators or manifest variables are the result of an individual … Wikipedia
Analysis of categorical data — These are statistical procedures which can be used for the analysis of categorical data:* regression * analysis of variance * linear modeling * log linear modeling * logistic regression * repeated measures analysis * simple correspondence… … Wikipedia
Cluster analysis — The result of a cluster analysis shown as the coloring of the squares into three clusters. Cluster analysis or clustering is the task of assigning a set of objects into groups (called clusters) so that the objects in the same cluster are more… … Wikipedia
Scale analysis (statistics) — In statistics, scale analysis is a set of methods to analyse survey data, in which responses to questions are combined to measure a latent variable. These items can be dichotomous (e.g. yes/no, agree/disagree, correct/incorrect) or polytomous… … Wikipedia
Boolean analysis — was introduced by Flament (1976). The goal of a Boolean analysis is to detect deterministic dependencies between the items of a questionnaire in observed response patterns. These deterministic dependencies have the form of logical formulas… … Wikipedia
Behavior analysis of child development — Child development in behavior analytic theory has origins in John B. Watson s behaviorism.[1] Watson wrote extensively on child development and conducted research (see Little Albert experiment). Watson was instrumental in the modification of… … Wikipedia
Semantic analysis (machine learning) — In machine learning, semantic analysis of a corpus is the task of building structures that approximate concepts from a large set of documents. It generally does not involve prior semantic understanding of the documents. Latent semantic analysis… … Wikipedia
Sentiment analysis — or opinion mining refers to the application of natural language processing, computational linguistics, and text analytics to identify and extract subjective information in source materials. Generally speaking, sentiment analysis aims to determine … Wikipedia
Discrete choice analysis — is a statistical technique. In these models the dependent variable is a binary variable. Instances of discrete choice analysis are probit, logit and multinomial models. They are applied in econometrics, marketing research and transportation mode… … Wikipedia
