INTRO TO MATHEMATICAL STAT

STA 611

Formal introduction to basic theory and methods of probability and statistics: probability and sample spaces, independence, conditional probability and Bayes' theorem; random variables, distributions, moments and transformations. Parametric families of distributions and central limit theorem. Sampling distributions, traditional methods of estimation and hypothesis testing. Elements of likelihood and Bayesian inference. Basic discrete and continuous statistical models. Not open to students who have had Statistical Science 250/Mathematics 342. Instructor: Gelfand

Day / Time: 

TuTh 08:30 AM-09:45 AM

Location: 

Old Chem 116

Instructor: 

Staff, Departmental

Section: 

01