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Statistical Theory - STAT810
This unit introduces the fundamental principles of statistical inference and estimation theory. The unit begins with a discussion of probability concepts, including relative frequency, random variables, distributions and large sample theory. A discussion of estimation concepts is provided, particularly unbiasedness, consistency and efficiency. Likelihood theory is then developed, including the concept of sufficiency and the maximum likelihood approach to estimation. Hypothesis testing concepts and methods are discussed with a particular focus on likelihood ratio, score and Wald tests. An introduction to Bayesian inference principles is also provided.
| Credit Points: | 4 |
| When Offered: | S1 Evening - Session 1, North Ryde, Evening S1 External - Session 1, External (On-campus dates: None) |
| Staff Contact(s): | Professor Ian Marschner |
| Prerequisites: |
Admission to MAppStat or PGDipAppStat or PGCertAppStat or (ACST601 and ACST602 and ACST604) |
| Corequisites: | |
| NCCW(s): | STAT806 |
| Unit Designation(s): | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science |
Timetable Information
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