I 4 points. Statistical modeling for data analysis II 4 points. This two-semester sequence is a core course in modern methods of applied statistics for doctoral candidates in Statistics and Biostatistics. It complements and parallels the existing core requirements in probability and mathematical statistics. The course is an intensive survey of statistical data analysis within an interactive computing environment.
Assignments requiring computer analysis of scientific data are due approximately every week.
These topics are covered in less depth and with less mathematical formalism than in other courses in Statistics and Biostatistics that devote an entire semester to some of the above subjects. However, the lectures assume a doctoral level of sophistication during presentation of the theoretical bases of each method, and of the connections and relationships among methods. The mechanics of computer usage are not discussed in lectures but are covered in a weekly recitation section. P9109 Theory of statistical inference I 4.5 points. Statistics G6105 Probability theory and real analysis I or the equivalent.