STAT4062 Statistical Modelling and Inference

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 1UWA (Perth)Face to face
Details for undergraduate courses
  • Level 4 elective
  • Honours option in Mathematics and Statistics [Bachelor of Science (Honours)]
Content
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.
Outcomes
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.
Assessment
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
Prerequisites:
STAT3061 Random Processes and their Applications;
or
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.