Hobart
Introduction
A general introduction to Statistical Inference, topics include: foundations of statistics, point estimation and hypothesis testing, maximum likelihood estimation, likelihood ratio tests, Bayesian methods, sufficiency, consistency, general linear models and least squares, generalised linear models, statistical computing.
Summary 2020
| Unit name | Principles of Statistics 3 |
|---|---|
| Unit code | KMA356 |
| Credit points | 12.5 |
| Faculty/School | College of Sciences and Engineering School of Natural Sciences |
| Discipline | Mathematics |
| Teaching staff | Mr D Palmer |
| Level | Advanced |
| Available as student elective? | Yes |
| Breadth Unit? | No |
Availability
Note
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TNE Program units special approval requirements.
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Fees
Requisites
Prerequisites
KMA253 or KMA255 and KMA305
Teaching
| Teaching Pattern | 3x1-hr lectures, 1-hr tutorial, some material will be delivered via video lectures. |
|---|---|
| Assessment | 3-hr exam (70%), assignments (30%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required | No required textbook |
|---|
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