STAT4062 Statistical Modelling and Inference
- 6 points
|Semester 1||UWA (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_2019 [SEM-1_2019]
- The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
- All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
- 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 at the University Co-operative Bookshop (from early January) and appropriate administrative offices for students to consult. Where texts are listed in the unit description above, an asterisk (*) indicates that the book is available in paperback.