💡 Words with a Similar Meaning to "Binary regression"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| linear regressionnoun | (statistics) A linear equation for deriving a single predicted value from one or more known explanatory values. |
| regressionnoun | (statistics) An analytic method to measure the association of one or more independent variables with a dependent variable. |
| regression analysis | In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the outcome or response variable, or a label in machine learning parlance) and one or more error-free independent variables (often called regressors, predictors, covariates, explanatory variables or features). |
| simple linear regression | In statistics, simple linear regression is a linear regression model with a single explanatory variable. |
| mean and predicted response | — |
| discriminant functionnoun | (mathematics) A function used to predict a categorical dependent variable by one or more continuous or binary independent variables. |
| linear probability model | In statistics, a linear probability model is a special case of a binary regression model. |
| stepwise regression | In statistics, stepwise regression is a method of fitting regression models in which the choice of predictive variables is carried out by an automatic procedure. |
| linear predictor function | In statistics and in machine learning, a linear predictor function is a linear function (linear combination) of a set of coefficients and explanatory variables (independent variables), whose value is used to predict the outcome of a dependent variable. |
| ordinal regression | In statistics, ordinal regression, also called ordinal classification, is a type of regression analysis used for predicting an ordinal variable, i.e. a variable whose value exists on an arbitrary scale where only the relative ordering between different values is significant. |
| discrete choice analysisnoun | (statistics) The analysis of a model whose dependent variable is a binary (two-valued) variable. |
| nonlinear regression | In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables. |
| logistic regression | In statistics, the logistic model (or logit model) is a statistical model that models the log-odds of an event as a linear combination of one or more independent variables. |
| predictor variablenoun | (mathematics) An independent variable that may be used to predict the value of another, especially in statistical regression |
| correlationnoun | (statistics) One of the several measures of the linear statistical relationship between two random variables, indicating both the strength and direction of the relationship. |
| poisson regression | In statistics, Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. |
| estimating equations | In statistics, the method of estimating equations is a way of specifying how the parameters of a statistical model should be estimated. |
| two-way analysis of variance | In statistics, the two-way analysis of variance is an extension of the one-way ANOVA that examines the influence of two different categorical independent variables on one continuous dependent variable. |
| response surface methodology | In statistics, response surface methodology explores the relationships between several explanatory variables and one or more response variables. |
| correlation coefficientnoun | (statistics) Any of the several measures indicating the strength and direction of a linear relationship between two random variables. |
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