Category
page 1Regression variable selection
cross-validation
statistical model validation technique
Akaike information criterion
statistics
Bayesian information criterion
statistical concept
dummy variable
one that takes the value 0 or 1 to indicate the absence or presence of some categorical effect that may be expected to shift the outcome
model selection
task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre-existing set of data is considered
Group method of data handling
family of inductive algorithms
Hannan–Quinn information criterion
Deviance information criterion
diagnostic statistic used in Bayesian model selection
model specification
in regression analysis the process of developing a regression model
Freedman's paradox
statistical paradox