Statistical estimation ($\hat{\theta }$)

Statistical estimation uses observed data to infer numerical properties of a population or model. A point estimator gives a value, while a confidence interval describes uncertainty with a specified coverage property. Maximum likelihood estimation is one approach; bias, variance, identifiability and the sampling or selection mechanism all affect an estimate's interpretation.