Statistical Inference for Biometry I

This is the first in a two-course sequence that introduces the theory of statistical inference that provides foundations to common biostatistical methods. Topics of the sequence include basic concepts of probability, parametric distributions, exact and asymptotic sampling distribution of statistics, maximum likelihood estimation, unbiased estimating equations, theory of hypothesis testing and Bayesian inference.