STAT4062 Statistical Modelling and Inference

6 points
(see Timetable)
Semester 1UWA (Perth)Face to face
Details for undergraduate courses
  • Level 4 elective
  • Honours option in Mathematics and Statistics [Bachelor of Science (Honours)]
This unit discusses advanced statistical models and their inferential procedures, motivated and demonstrated with numerous applied examples. Where appropriate, the underlying general concepts and basic theory are discussed, within either a Frequentist or Bayesian framework, or both. Data sets are analysed using the statistical package R. Topics are selected from, but are not limited to: categorical data analysis, survival analysis, longitudinal data analysis, multilevel models, missing data analysis, (generalised) linear mixed models, non-linear regression, life/failure time analysis, time-to-event data analysis, predictive modelling, non-linear regression analysis, Bayesian data analysis, time series analysis, high-dimensional data, functional data analysis, likelihood modelling, actuarial statistics, multivariate statistical methods, non-parametric statistics and spatial statistics.
Students are able to (1) appropriately apply techniques from the chosen topics to real-world problems and communicate results in a logical and coherent fashion to others; (2) apply statistical reasoning in general to analyse the essential structure of problems in various fields of human endeavour; (3) extend their knowledge of statistical modelling techniques and adapt known solutions to different situations; and (4) undertake continuous learning in statistical modelling and inference, being aware that an understanding of fundamentals is necessary for effective application.
Indicative assessments in this unit are as follows: (1) end-of-semester examination and (2) in-semester tests and assignments. Further information is available in the unit outline.

Supplementary assessment is not available in this unit.
Unit Coordinator(s)
Associate Professor Berwin Turlach
Unit rules
STAT3061 Random Processes and their Applications;
STAT3401 Advanced Data Analysis
Contact hours
3 hours per week
Unit Outline
Semester 1-2020 [SEM-1-2020]
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
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  • Books and other material wherever listed may be subject to change. Book lists relating to 'Preliminary reading', 'Recommended reading' and 'Textbooks' are, in most cases, available via the Booktopia Textbook Finder, which has the functionality to search by course code, course, ISBN and title, and may also be posted or available at the appropriate school's administrative offices. Where texts are listed in the unit description above, an asterisk (*) indicates that the book is available in paperback.