Category
page 1Regression analysis
regression analysis
set of statistical processes for estimating the relationships among variables
dependent and independent variables
concept in mathematical modeling, statistical modeling and experimental sciences
heteroscedasticity
statistical property in which some subpopulations in a collection of random variables have different variabilities from others
regression toward the mean
statistical phenomenon
idempotent matrix
matrix which, when multiplied by itself, yields itself
errors and residuals
measures of deviation of an observed value from its theoretical value
multicollinearity
In statistics, multicollinearity or collinearity is a situation where the predictors in a regression model are linearly dependent.
instrumental variables estimation
technique in statistics
nonlinear regression
estimation method that seeks to fit a curve to a data set, where the mathematical model of the relationship between dependent and independent variables is not linear
simple linear regression model
linear regression model with a single explanatory variable
polynomial regression
statistics concept
prediction interval
estimate of an interval in which future observations will fall
conjoint analysis
statistical method
causal inference
process of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect
difference in differences
social sciences statistical technique that mimics an experimental research design using observational study data by studying the differential effect of a treatment on a 'treatment group' versus a 'control group' in a natural experiment
omitted-variable bias
type of statistical bias
regression discontinuity design
statistical method
Quantile regression
statistical model
interaction
in statistics, the situation in which the simultaneous influence of two variables on a third is not additive
ridge regression
regularization technique for ill-posed problems
radial basis function network
an artificial neural network that uses radial basis functions as activation functions
moderation
statistics and regression analysis, moderation occurs when the relationship between two variables depends on a third variable
design matrix
matrix of values of explanatory variables of a set of objects
lasso
statistical method
function approximation
approximating an arbitrary function with a well-behaved one
propensity score matching
statistical matching technique to estimate an intervention’s effect by accounting for the covariates that predict receiving the treatment, reducing the bias due to confounding variables
Polygenic score
Score that is the effect of many genetic variants on an individual's phenotype, calculated as a weighted sum of trait-associated alleles
Deming regression
Frisch–Waugh–Lovell theorem
Theorem in statistics and econometrics
Linear predictor function
Principal component regression
statistical technique
Contrast
combination of averages whose coefficients add up to zero, or the difference between two means
Symbolic regression
type of regression analysis