GS01 1113 Introduction to Mathematical Statistics

Shete, Sanjay. Three semester hours. Fall, annually. Grading System: Letter Grade. Prerequisite: Introduction to Mathematical Probability (GS010213) or permission of instructor. 

This course is the second of two courses intended to establish a theoretical foundation for the biostatistics and biomathematics curriculum. The material introduced in this course is a necessary prerequisite for courses in informatics, survival analysis, and advanced Bayesian inference. The focus will be on integrating both classical and Bayesian methods in a comprehensive but elementary survey. This course will discuss the general approach to statistical inference for data arising from an unknown probability distribution. Students will learn methods for characterizing specific properties of the distributions and use them in making future predictions. The course will discuss statistical inferential methods for data arising from continuous or discrete distributions. This course is cross-listed at Rice University (STAT 532).  The venue of the course will be at Rice University.