Credit points: 15
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
Subject Co-ordinatorPaul Kabaila
Available to Study Abroad StudentsYes
Subject year levelYear Level 4 - UG/Hons/1st Yr PG
Prerequisites STA2MDA or STA2MD
Incompatible subjects STA3AS
|Resource Type||Title||Resource Requirement||Author and Year||Publisher|
|Readings||Applied Multivariate Analysis||Recommended||Johnson, RA & Wichern, DW 2002||5TH ED. PRENTICE-HALL.|
|Readings||Applied Statistics Unit Text||Recommended||La Trobe University||AVAILABLE FROM THE BOOKSHOP|
|Readings||Mathematical Statistics and Data Analysis||Recommended||Rice, JA 2007||3RD ED. DUXBURY.|
|Readings||Time Series Analysis: Forecasting and Control||Recommended||Box, GEP & Jenkins, GM 1976||HOLDEN-DAY|
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Melbourne, 2014, Semester 2, Day
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorPaul Kabaila
Three 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
One 1.0 hours practical per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
|10 Assignments (approx. 120 words each)||15|
|3-hour Final Examination||80|