sta3as applied statistics

APPLIED STATISTICS

STA3AS

2014

Credit points: 15

Subject outline

The purpose of STA3AS 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. The software package used in this subject is R.

FacultyFaculty of Science, Tech & Engineering

Credit points15

Subject Co-ordinatorPaul Kabaila

Available to Study Abroad StudentsYes

Subject year levelYear Level 3 - UG

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites STA2MDA or STA2MD

Co-requisitesN/A

Incompatible subjects STA4AS

Equivalent subjectsN/A

Special conditionsN/A

Learning resources

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsPrinted text available from University BookshopPrescribedN/AN/A
ReadingsApplied Multivariate Statistical AnalysisRecommendedJohnson, R.A. and Wichern, D.W.5TH ED, PEARSON, 2002
ReadingsMathematical Statistics and Data AnalysisRecommendedRice, J.A.3RD EDN., DUXBURY, 2007.
ReadingsTime Series Analysis: Forecasting and ControlRecommendedBox, G.E.P. and Jenkins, G.M.REVISED ED., HOLDEN-DAY, 1976.

Subject options

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Start date between: and    Key dates

Melbourne, 2014, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorPaul Kabaila

Class requirements

LectureWeek: 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.

PracticalWeek: 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.

Assessments

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