STA8302 Advanced Statistical Methods
| Subject | Cat-nbr | Class | Term | Mode | Description | Units | Campus |
| STA | 8302 | 78219 | 2, 2008 | ONC | Advanced Statistical Methods | 1.00 | Toowoomba |
|---|
| Academic group: | FOSCI |
| Academic org: | FOS003 |
| Student contribution band: | 2 |
| ASCED code: | 010103 |
Contents
- Staffing
- Rationale
- Synopsis
- Objectives
- Topics
- Texts
- Reference materials
- Student workload
- Assessment details
- Important assessment information
- Assessment notes
- Production date
-
PDF version
STAFFING
Examiner: Shahjahan KhanModerator: Ashley Plank
RATIONALE
Statisticians need to be proficient in a wide range of statistical techniques. Many of these are either only touched on or omitted from undergraduate programs. An opportunity to broaden the students' knowledge-base with more advanced statistical techniques is provided in this course.
SYNOPSIS
This course is normally offered only in even years. This course contains advanced statistical methods selected from topics including but not restricted to: statistical inference, generalised linear models, multivariate analysis, order statistics, computational methods, statistical quality control, and reliability analysis.
OBJECTIVES
On completion of this course, students should be able to:
- identify the technique or techniques needed to deal with a statistical problem (All assessment items);
- demonstrate the skills needed to address the statistical problem so as to provide an appropriate statistical analysis (All assessment items);
- understand some of the advanced statistical methods (All assessment items);
- read, understand and explain publications in statistics of a technical nature (All assessment items);
- demonstrate, depending on options chosen, knowledge and understanding of multivariate analysis, order statistics, computational methods, statistical inference, Bayesian estimation, statistical quality control and reliability, or generalised linear models (All assessment items).
TOPICS
| Description | Weighting (%) | |
|---|---|---|
| 1. | Students should study one of the following topics, or (with the approval of the examiner) a combination of topics: 1.1. Inferential Statistics: Parametric Estimation: methods of estimation; properties of estimators - unbiasedness, consistency, efficiency, loss/risk functions; sufficiency, complete sufficiency, exponential family, uniformly minimum variance unbiased estimator; interval estimation; Bayesian estimation - point and interval. Two tests of Hypothesis: power function, most powerful test, generalised likelihood ratio test, uniformly most powerful test, minimax test, Bayes test. 1.2. Multivariate Analysis: Random vectors; spectral decomposition; principal components analysis; discriminant analysis; factor analysis; multivariate distributions (multivariate normal, Hotelling's T-Square, Wishart). 1.3. Order Statistics: Distribution of order statistics; asymptotic distribution; tolerance limits. 1.4. Computational methods: Permutation procedures; resampling methods: jackknifing, bootstrapping. 1.5. Quality Control & Reliability: sequential analysis, acceptance sampling, process control, Taguchi method; 2 survival analysis, censored & truncated data, extreme - value distribution. 1.6. Generalized Linear models: review of regression and regression diagnostics; exponential dispersion models; link functions; variance functions; residuals; diagnostics; specific types of generalised linear models; quasi-likelihood; extended quasi-likelihood; dispersion models; the saddlepoint approximation; some advanced topics. 1.7. Bayesian Analysis. 1.8. Sample survey design and analysis. | 100.00 |
TEXT and MATERIALS required to be PURCHASED or accessed
ALL textbooks and materials are available for purchase from USQ BOOKSHOP (unless otherwise stated). Orders may be placed via secure internet, free fax 1800642453, phone 07 46312742 (within Australia), or mail. Overseas students should fax +61 7 46311743, or phone +61 7 46312742. For costs, further details, and internet ordering, use the 'Textbook Search' facility at http://bookshop.usq.edu.au click 'Semester', then enter your 'Course Code' (no spaces).
To be advised.
REFERENCE MATERIALS
Reference materials are materials that, if accessed by students, may improve their knowledge and understanding of the material in the course and enrich their learning experience.
To be advised.
STUDENT WORKLOAD REQUIREMENTS
| ACTIVITY | HOURS |
| Assessment | 50.00 |
| Consultation | 7.00 |
| Directed Study | 110.00 |
ASSESSMENT DETAILS
| Description | Marks out of | Wtg(%) | Due date | Notes | |
|---|---|---|---|---|---|
| ASSIGNMENT 1 | 100.00 | 20.00 | 21 Jul 2008 | (see note 1) | |
| ASSIGNMENT 2 | 100.00 | 20.00 | 21 Jul 2008 | ||
| ASSIGNMENT 3 | 100.00 | 30.00 | 21 Jul 2008 | ||
| ASSIGNMENT 4 | 0.00 | 0.00 | 21 Jul 2008 | ||
| PROJECT | 100.00 | 30.00 | 21 Jul 2008 | (see note 2) | |
NOTES
- 1.
- Assignment due dates will be advised by Examiner.
- 2.
- Project details to be advised by Examiner.
IMPORTANT ASSESSMENT INFORMATION
- Attendance requirements:
It is the students' responsibility to attend and participate appropriately in all activities (such as lectures, tutorials, laboratories and practical work) scheduled for them, and to study all material provided to them or required to be accessed by them to maximise their chance of meeting the objectives of the course and to be informed of course-related activities and administration. - Requirements for students to complete each assessment item satisfactorily:
To satisfactorily complete an individual assessment item a student must achieve at least 50% of the marks or a grade of at least C-. Students do not have to satisfactorily complete each assessment item to be awarded a passing grade in this course. Refer to Statement 4 below for the requirements to receive a passing grade in this course. - Penalties for late submission of required work:
If students submit assignments after the due date without (prior) approval of the examiner then a penalty of 5% of the total marks gained by the student for the assignment may apply for each working day late up to ten working days at which time a mark of zero may be recorded. No assignments will be accepted after model answers have been posted. - Requirements for student to be awarded a passing grade in the course:
To be assured of receiving a passing grade a student must achieve at least 50% of the total weighted marks available for the course. - Method used to combine assessment results to attain final grade:
The final grades for students will be assigned on the basis of the aggregate of the weighted marks obtained for each of the summative assessment items in the course. - Examination information:
There is no examination in this course. - Examination period when Deferred/Supplementary examinations will be held:
There will be no Deferred or Supplementary examinations in this course. - University Regulations:
Students should read USQ Regulations 5.1 Definitions, 5.6. Assessment, and 5.10 Academic Misconduct for further information and to avoid actions which might contravene University Regulations. These regulations can be found at the URL http://www.usq.edu.au/corporateservices/calendar/part5.htm or in the current USQ Handbook.
ASSESSMENT NOTES
| 9. | Students must retain a copy of each item submitted for assessment. If requested, students will be required to provide a copy of assignments submitted for assessment purposes. |
This version produced 14 Nov 2008.
