Mathematical Statistics

Catalog description

Bernoulli, binomial, Poisson and other discrete density functions. Continuous distributions: the normal, t, chi square and F distributions. Order Statistics. Point and interval estimation, maximum likelihood and Bayes' estimation. Testing hypotheses, the Neyman-Pearson lemma, likelihood ratio tests. An introduction to linear models and the design of laboratory experiments. The analysis of variance.