Maximum likelihood estimation of the parameters of a statistical model involves maximizing the likelihood or, equivalently, the log likelihood with respect to the parameters. The parameter values at ...

Advanced statistics classes almost never teach us how to estimate power to test innovative hypotheses embedded in complex ...

The expectation maximization algorithm enables parameter estimation in probabilistic models with incomplete data. In summary, the expectation maximization algorithm alternates between the steps of ...

Explain what is meant by statistical inference. Define a point estimate and population parameter and list common types of point estimates and parameters Identify point estimates and parameters when ...