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Statistical Inference - STAT806

This unit provides an introduction to likelihood-based statistical inference. After a brief discussion of the multivariable calculus concepts needed, students will study (multivariate) change of variable, the likelihood function and maximum likelihood estimation, using examples from a range of distributions. The theory of estimation and hypothesis testing will be discussed, including most powerful tests, large sample theory, the sufficiency principle, the likelihood ratio principle, and sequential probability ratio tests.

Credit Points: 4
When Offered:

S1 Day - Session 1, North Ryde, Day

S1 External - Session 1, External (with on campus sessions)

Staff Contact(s): Statistics Staff
Prerequisites:

 

Corequisites:

((Admission to MAppStat or GradDipAppStat or Msc) and (MATH604 and STAT670 and STAT680 and STAT683)) or (admission to MActPrac)

NCCW(s): STAT710, STAT810
Unit Designation(s):

Commerce

Science

Assessed As: Graded
Offered By:

Department of Mathematics and Statistics

Faculty of Science and Engineering

Course structures, including unit offerings, are subject to change.
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