Courses with Gaps

OLS; Gauss-Markov Theorem; MLE; Specification and misspecification test; Predictive and non-predictive tests; Tests of hypothesis for linear model; The likelihood ratio; wald and language multiplier Tests; Multi-collinearity; Specification bias; GLS; Dummy variables and seasonal variations; Inferences based on asymptotic Distribution Theory

Sampling theory and its critique; subjective probability; likelihood principles; Bayes theorem; Bayesian analysis of Normal theory inference problems; the Behrens-Fisher problem; assessment of model assumptions; robustness of inference; analysis of variance; estimation of variance components; empirical Bayes; some aspects of multivariate problems; sequential nature of Bayesian inference; prior and posterior distributions of parameters in binomial; poisson; exponential and normal populations; comparison of two normal distributions; predictive distributions; decision theory; utility; risk aversion; extensive form of analysis; two-action problems; point estimation; best population problems; economics of sampling

Advanced Regression; Bio-assays; Probit and Logit models; Growth Curves; Logistic Regression; Potency/efficacy determination; Theory of clinical trials; Ethical Issues in Medical Data Collection