ADVANCED TOPICS IN STATISTICS D

STA5ATD

2014

Credit points: 15

Subject outline

This subject enables 5th year statistics students to enrol in subjects offered through the Key Centre of Statistical Science (KCSS) or through the Department of Mathematics and Statistics Access Grid Room. Subject syllabus is dependent on the subject chosen and students are advised to refer to the departmental website or the Department of Mathematics and Statistics Master of Staistical Science Coordinator prior to enrolment for more details. Enrolment into this subject must be approved by the Department of Mathematics and Statistics Master of Statistical Science Coordinator.

FacultyFaculty of Science, Tech & Engineering

Credit points15

Subject Co-ordinatorLuke Prendergast

Available to Study Abroad StudentsYes

Subject year levelYear Level 5 - Masters

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites only by approval of the Master of Statistical Science coordinator

Co-requisitesN/A

Incompatible subjects STA4ATD

Equivalent subjectsN/A

Special conditionsN/A

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsIntroduction to Linear Regression AnalysisRecommendedMontgomery, D. C, Peck, E. A. and Vining, G. (2006)WILEY, 4TH EDITION.

Subject options

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Start date between: and    Key dates

Melbourne, 2014, Semester 1, Day

Overview

Online enrolmentNo

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorLuke Prendergast

Class requirements

Lecture Week: 10 - 22
Two 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementComments%
All of the assessment for this subject takes place within the KCSS/AGR subject.The assessment elements for this subject depend specifically on which KCSS/AGR subject is chosen. 100% of the assessment takes place within the KCSS/AGR subject100

Melbourne, 2014, Semester 2, Day

Overview

Online enrolmentNo

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorLuke Prendergast

Class requirements

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

Assessments

Assessment elementComments%
All of the assessment for this subject takes place within the KCSS/AGR subject.The assessment elements for this subject depend specifically on which KCSS/AGR subject is chosen. 100% of the assessment takes place within the KCSS/AGR subject100