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GS01 1113   Introduction to Mathematical Statistics

Cook, John. Three semester hours. Spring. 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 of GSS. 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.