This course serves as an introduction to mathematical statistics. We will cover random variables (discrete and continuous) and look at their behaviour through expected values and distributions. A major topic in this course is joint distributions and conditional expectations. The second half of the course looks at limit theorems and common distributions used in statistics. The last topic covered is estimation - we will introduce the notion of maximum likelihood estimation.
This course builds on the material learned in MATH 2030. It also assumes a solid knowledge of univariate and multivariate calculus: especially double integration over non-rectangular regions, changing order of integration, change of variables, and maximization.
Instructor: Hanna Jankowski
E-mail: hkj[at]mathstat.yorku.ca
Please include "[2131]" in the subject of your e-mail.
Properly-written text messages only, no html, no "texting".
Office: N621B Ross
Office hours:
MW 12:30-1pm (until April 4th), or by appointment. No drop-ins, please.