Course description: Although statistical methods have become the analytical methods of choice in areas as diverse as biomedical and environmental sciences, geophysics, education, psychology, sociology, political science, physics, astronomy, and communications, they are often misunderstood and misused.

This course introduces students to the principles of mathematical statistics (estimation theory and hypothesis testing theory) and to data analysis. Appropriate applications of the principles are emphasized throughout the course.

MATH4427 is the second course in a three-semester mathematical statistics sequence. Prerequisites include a calculus-based course in probability theory at the level of MATH4426, and a familiarity with using the computer to solve mathematics problems.

Fall 2017 course information: Materials will be drawn from the text Mathematical Statistics and Data Analysis, Third Edition by UC Berkeley Professor John Rice (Duxbury Press, 2007) and from my ASA-SIAM text.

Course syllabus (important information you need to know; 8/23/17). 

Course notes: notebook1, notebook2, notebook3, notebook4, notebook5.

Additional course information: lecture01 (introduction, 8/28),