- binary regression
- мат.бинарная регрессия
English-Russian scientific dictionary. 2008.
binary regression
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Regression analysis — In statistics, regression analysis is a collective name for techniques for the modeling and analysis of numerical data consisting of values of a dependent variable (response variable) and of one or more independent variables (explanatory… … 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
Unit-weighted regression — In statistics, unit weighted regression is perhaps the easiest form of multiple regression analysis, a method in which two or more variables are used to predict the value of an outcome. At a conceptual level, the example of weight loss can… … Wikipedia
Bayesian additive regression kernels — (BARK) is a non parametric statistics model for regression and classificationcite web| title= Bayesian Additive Regression Kernels |url= http://stat.duke.edu/people/theses/OuyangZ.html |Author = Zhi Ouyang |Publisher = Duke University] . The… … Wikipedia
logistic regression — (or logit regression) A form of regression analysis that is specifically tailored to the situation in which the dependent variable is dichotomous (or binary). For example, among a sample of people under investigation, a researcher might be… … Dictionary of sociology
logistic (or logit) regression — (or logit regression) A form of regression analysis that is specifically tailored to the situation in which the dependent variable is dichotomous (or binary). For example, among a sample of people under investigation, a researcher might be… … Dictionary of sociology
Linear probability model — The linear probability specification of a binary regression model assumes that, for binary outcome Y and regressor vector X ,: Pr(Y=1 | X=x) = x eta. A drawback of this model is that, unless restrictions are placed on eta , the estimated… … Wikipedia
Odds ratio — The odds ratio [1][2][3] is a measure of effect size, describing the strength of association or non independence between two binary data values. It is used as a descriptive statistic, and plays an important role in logistic regression. Unlike… … 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
List of mathematics articles (B) — NOTOC B B spline B* algebra B* search algorithm B,C,K,W system BA model Ba space Babuška Lax Milgram theorem Baby Monster group Baby step giant step Babylonian mathematics Babylonian numerals Bach tensor Bach s algorithm Bachmann–Howard ordinal… … Wikipedia
Phi coefficient — In statistics, the phi coefficient (also referred to as the mean square contingency coefficient and denoted by φ or rφ) is a measure of association for two binary variables introduced by Karl Pearson[1]. This measure is similar to the Pearson… … Wikipedia
