Estimation & Statistical Inference in Logistic Regression – Practice Quiz

Fit and assess logistic regression through likelihood, numerical optimization and statistical inference. Work through Bernoulli contributions, scores, IRLS, Wald calculations, likelihood-ratio comparisons, deviance, separation and sparse-data diagnostics. Prerequisites: logistic formulation, likelihood, matrix regression and asymptotic testing. Challenges emphasize regularity conditions, convergence evidence and defensible remedies.

Further reading: GLM reference.