Demand is at an all-time high for data analysts who can help organizations, technology companies, governments, and nonprofit agencies grasp their organizational, societal, and scientific needs. The ...

Introduces methods, theory, and applications of linear statistical models, covering topics such as estimation, residual diagnostics, goodness of fit, transformations, and various strategies for ...

Mixed models are statistical frameworks that accommodate hierarchical or clustered data by modelling both fixed effects, which represent average relationships across all observations, and random ...