parametric inference

Parametric inference

An Overview Parametric inference is the process by which information from sample data is used to draw conclusions about the population properties from which the sample was selected. The distribution of the population from which sample is drawn is assumed to be known and can be modeled by a probability distribution that have a fixed set of parameters.