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STAT403 Case Studies in Statistics

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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 Tuition Fees for 2022 have not yet been set
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

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Prerequisite
STAT 401 or (STAT 270 and STAT 310)
Contact

tilman.davies@otago.ac.nz

Teaching staff

Tilman Davies

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

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Timetable

Semester 2

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Other