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Что (кто) такое regression model - определение
Piecewise regression; Piecewise model; Segmented model; Segmented regression analysis; Threshold regression; Two-phase regression; Multi-phase regression; Changing-point regression; Regression kink; Linear segmented regression
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Logistic regression
![heavier tails]] of the logistic distribution.](https://commons.wikimedia.org/wiki/Special:FilePath/Logistic-sigmoid-vs-scaled-probit.svg?width=200 "heavier tails]] of the logistic distribution.")
STATISTICAL MODEL
Logit model; Logit regression; Binary logit model; Logistic Regression; Conditional logit analysis; Applications of logistic regression
In statistics, the logistic model (or logit model) is a statistical model that models the probability of an event taking place by having the log-odds for the event be a linear combination of one or more independent variables. In regression analysis, logistic regression (or logit regression) is estimating the parameters of a logistic model (the coefficients in the linear combination).
Factor regression model
Within statistical factor analysis, the factor regression model, or hybrid factor model, is a special multivariate model with the following form:
Censored regression model
YES
Censored regression models; Corner-solution model
Censored regression models are a class of models in which the dependent variable is censored above or below a certain threshold. A commonly used likelihood-based model to accommodate to a censored sample is the Tobit model, but quantile and nonparametric estimators have also been developed.
Land use regression model
A land use regression model (LUR model) is an algorithm often used for analyzing pollution, particularly in densely populated areas.
General linear model
STATISTICAL LINEAR MODEL
Univariate binary model; General Linear Model; Multivariate regression model; Comparison of general and generalized linear models; Multivariate linear regression; Multivariate regression; Multivariate linear model; Multivariate linear analysis
The general linear model or general multivariate regression model is a compact way of simultaneously writing several multiple linear regression models. In that sense it is not a separate statistical linear model.
Software regression
SOFTWARE BUG THAT BREAKS PREVIOUSLY WORKING FUNCTIONALITY
Regression bugs; Regression bug; Regression (programming); Regression detection; Bug regression; Software performance regression
A software regression is a type of software bug where a feature that has worked before stops working. This may happen after changes are applied to the software's source code, including the addition of new features and bug fixes.
Multinomial logistic regression
REGRESSION FOR MORE THAN TWO DISCRETE OUTCOMES
Maximum entropy classifier; Maxent model; Multinomial logit model; MNL model; Multinomial logit; Multinomial regression; Softmax regression; Polytomous logistic regression; Mlogit
In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e.
Nonparametric regression
CATEGORY OF REGRESSION ANALYSIS
Nonparametric multiplicative regression; Non-parametric regression; Nonparametric Regression
Nonparametric regression is a category of regression analysis in which the predictor does not take a predetermined form but is constructed according to information derived from the data. That is, no parametric form is assumed for the relationship between predictors and dependent variable.
Regression discontinuity design
 Density Test on Data from Lee, Moretti, and Butler (2004).png?width=200 "McCrary (2008)<ref name=\"McCrary 2008\" /> density test on data from Lee, Moretti, and Butler (2004).<ref name=\"Lee Moretti Butler 2004\" />")
STATISTICAL METHOD
Regression discontinuity; Discontinuity regression; Regression kink design
In statistics, econometrics, political science, epidemiology, and related disciplines, a regression discontinuity design (RDD) is a quasi-experimental pretest-posttest design that aims to determine the causal effects of interventions by assigning a cutoff or threshold above or below which an intervention is assigned. By comparing observations lying closely on either side of the threshold, it is possible to estimate the average treatment effect in environments in which randomisation is unfeasible.
Proportional hazards model
CLASS OF STATISTICAL SURVIVAL MODELS
Cox regression; Cox Hazard Models; Cox model; Cox proportional hazards model; Cox-model; Cox survival model; Proportional hazards models; Duration models with time-varying data; Duration Models with Time-Varying Data; Cox regressions; Cox hazard model; Cox proportional-hazards models; Cox proportional hazards regression models; Cox proportional hazard models; Proportional hazard models
Proportional hazards models are a class of survival models in statistics. Survival models relate the time that passes, before some event occurs, to one or more covariates that may be associated with that quantity of time.
Википедия
Segmented regression
Segmented regression, also known as piecewise regression or broken-stick regression, is a method in regression analysis in which the independent variable is partitioned into intervals and a separate line segment is fit to each interval. Segmented regression analysis can also be performed on multivariate data by partitioning the various independent variables. Segmented regression is useful when the independent variables, clustered into different groups, exhibit different relationships between the variables in these regions. The boundaries between the segments are breakpoints.
Segmented linear regression is segmented regression whereby the relations in the intervals are obtained by linear regression.
