Credit points: 15

Subject outline

The purpose of STA4AS is to equip graduates with an in depth understanding of modern statistical methods in the following four key topics: 1. Sample surveys with an emphasis on simple random sampling and stratified random sampling. 2. Multivariate analysis with an emphasis on inference for the multivariate mean, checking for underlying multivariate normality, principal component analysis and discriminant analysis.This topic includes an introduction/review of common linear algebra results. 3. Time series analysis with an introduction into the theoretical foundation of Box-Jenkins univariate time series models which form a basis for empirical work with time series data. 4. Introduction to statistical consulting with an emphasis on providing an introduction to the statistical and non-statistical matters that may arise in consulting practice. This subject is co-taught with STA3AS. However, independent research regarding some advanced proofs is required and assessed in STA4AS.

FacultyFaculty of Science, Tech & Engineering

Credit points15

Subject Co-ordinatorPaul Kabaila

Available to Study Abroad StudentsYes

Subject year levelYear Level 4 - UG/Hons/1st Yr PG

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites STA2MDA or STA2MD


Incompatible subjects STA3AS

Equivalent subjectsN/A

Special conditionsN/A

Learning resources


Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsApplied Multivariate AnalysisRecommendedJohnson, RA & Wichern, DW 20025TH ED. PRENTICE-HALL.
ReadingsApplied Statistics Unit TextRecommendedLa Trobe UniversityAVAILABLE FROM THE BOOKSHOP
ReadingsMathematical Statistics and Data AnalysisRecommendedRice, JA 20073RD ED. DUXBURY.
ReadingsTime Series Analysis: Forecasting and ControlRecommendedBox, GEP & Jenkins, GM 1976HOLDEN-DAY

Subject options

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Start date between: and    Key dates

Melbourne, 2014, Semester 2, Day


Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorPaul Kabaila

Class requirements

Lecture Week: 31 - 43
Three 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Practical Week: 31 - 43
One 1.0 hours practical per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.


Assessment elementComments%
10 Assignments (approx. 120 words each)15
3-hour Final Examination80
Consulting role-play5