- binary response model
- Математика: модель бинарной модели
Универсальный англо-русский словарь. Академик.ру. 2011.
binary response model
Смотреть что такое "binary response model" в других словарях:
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
Statistical model validation — Model validation is possibly the most important step in the model building sequence. It is also one of the most overlooked. Often the validation of a model seems to consist of nothing more than quoting the R 2 statistic from the fit (which… … Wikipedia
RGB color model — RGB redirects here. For other uses, see RGB (disambiguation). A representation of additive color mixing. Projection of primary color lights on a screen shows secondary colors where two overlap; the combination of all three of red, green, and blue … Wikipedia
Regression model validation — In statistics, model validation is possibly the most important step in the model building sequence. It is also one of the most overlooked.[citation needed] Often the validation of a model seems to consist of nothing more than quoting the R2… … Wikipedia
NK model — The NK model is a mathematical model described by its primary inventor Stuart Kauffman as a tunably rugged fitness landscape. tunable ruggedness captures the intuition that both the overall size of the landscape and the number of its local hills… … Wikipedia
Nice model — The Nice model (pronounced /ˈniːs/, like niece) is a scenario for the dynamical evolution of the Solar System. It is named for the location of the Observatoire de la Côte d Azur, where it was initially developed, in Nice, France.[1][2] It… … Wikipedia
Entity-attribute-value model — (EAV), also known as object attribute value model and open schema is a data model that is used in circumstances where the number of attributes (properties, parameters) that can be used to describe a thing (an entity or object ) is potentially… … Wikipedia
Probit model — In statistics, a probit model is a popular specification of a generalized linear model, using the probit link function. A probit regression is the application of this model to a given dataset. Probit models were introduced by Chester Ittner Bliss … Wikipedia
Cis-regulatory module — (CRM) is a stretch of DNA, usually 100 1000 DNA base pairs in length,[1] where a number of transcription factors can bind and regulate expression of nearby genes. One cis regulatory element can regulate several genes,[2] and conversely, one gene… … 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
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
