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Wat (wie) is nonlinear regression - definitie
REGRESSION ANALYSIS
Non-linear regression; Nonlinear curve fitting; Curvilinear regression; Exponential regression; Nonlinear Regression
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.
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.
Wikipedia
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. The data are fitted by a method of successive approximations.
