Due to COVID-19 restrictions, a selection of on-campus papers will be made available via distance and online learning for eligible students.
Find out which papers are available and how to apply on our COVID-19 website
Application of advanced statistical methods through case studies
| Paper title | Case Studies in Statistics |
|---|---|
| Paper code | STAT403 |
| Subject | Statistics |
| EFTS | 0.1667 |
| Points | 20 points |
| Teaching period | Semester 2 (On campus) |
| Domestic Tuition Fees (NZD) | $1,174.57 |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Prerequisite
- STAT 401 or (STAT 270 and STAT 310)
- Contact
- More information link
- Teaching staff
- Textbooks
Recommended reading:
- Gelfand, A. E., Diggle, P., Guttorp, P., & Fuentes, M. (Eds.). (2010). Handbook of spatial statistics. CRC press
- Cowpertwait, P.S.P., Metcalfe,A.V. .Introductory Time Series with R. Springer
- Bowman, A. W., & Azzalini, A. (1997). Applied smoothing techniques for data analysis: the kernel approach with S-Plus illustrations. OUP Oxford
- Wasserman, L.A. (2006). All of Nonparametric Statistics. Springer
- Graduate Attributes Emphasised
interdisciplinary perspective, lifelong learning, scholarship, communication, critical thinking, ethics, information literacy, research, self-motivation, teamwork
View more information about Otago's graduate attributes.- Learning Outcomes
Students who successfully complete the paper will be able to demonstrate:
- Understanding of the relationship between theory and application of specialized statistical techniques
- Identification of research question and ability to adapt statistical methods to problems without standard solutions
- Ability to apply methodology and statistical computing to analyse data using specialized techniques, and interpret results in a logical manner
- Autonomy and judgement in presenting results to others, including non-scientists
