- multinomial data
- мат. полиномиальные данные
Большой англо-русский и русско-английский словарь. 2001.
multinomial data
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Multinomial logit — In statistics, economics, and genetics, a multinomial logit (MNL) model, also known as multinomial logistic regression, is a regression model which generalizes logistic regression by allowing more than two discrete outcomes. That is, it is a… … Wikipedia
Multinomial test — In statistics, the multinomial test is the test of the null hypothesis that the parameters of a multinomial distribution equal specified values. It is used for categorical data; see Read and Cressie[1]. We begin with a sample of N items each of… … Wikipedia
Multinomial probit — In econometrics and statistics, the multinomial probit model, a popular alternative to the multinomial logit model, is a generalization of the probit model that allows more than two discrete, unordered outcomes. It is not to be confused with the… … Wikipedia
Data Mining — Exploration de données L’exploration de données, aussi connue sous les noms fouille de données, data mining (forage de données) ou encore Extraction de Connaissances à partir de Données (ECD en français, KDD en Anglais), a pour objet l’extraction … Wikipédia en Français
Data mining — Exploration de données L’exploration de données, aussi connue sous les noms fouille de données, data mining (forage de données) ou encore Extraction de Connaissances à partir de Données (ECD en français, KDD en Anglais), a pour objet l’extraction … Wikipédia en Français
Negative multinomial distribution — notation: parameters: k0 ∈ N0 the number of failures before the experiment is stopped, p ∈ Rm m vector of “success” probabilities, p0 = 1 − (p1+…+pm) the probability of a “failure”. support … Wikipedia
Binomial regression — In statistics, binomial regression is a technique in which the response (often referred to as Y ) is the result of a series of Bernoulli trials, or a series of one of two possible disjoint outcomes (traditionally denoted success or 1, and failure … Wikipedia
Discrete choice — In economics, discrete choice problems involve choices between two or more discrete alternatives, such as entering or not entering the labor market, or choosing between modes of transport. Such choices contrast with standard consumption models in … Wikipedia
Predictive analytics — encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events. Such predictions rarely take the form of absolute statements, and are more likely to be… … Wikipedia
Generalized linear model — In statistics, the generalized linear model (GLM) is a flexible generalization of ordinary least squares regression. It relates the random distribution of the measured variable of the experiment (the distribution function ) to the systematic (non … Wikipedia
Random forest — In machine learning, a random forest is a classifier that consists of many decision trees and outputs the class that is the mode of the classes output by individual trees. The algorithm for inducing a random forest was developed by Leo Breiman… … Wikipedia
