THEORY OF STATISTICS

STA5TS

2014

Credit points: 15

Subject outline

This subject builds on the knowledge of classical statistical inference developed in either STA3SI (Statistical Inference) or STA4SI (Statistical Inference). It consists of a selection of material from the following chapters of Casella and Berger (2002): Chapter 6 (Principles of Data Reduction), Chapter 7 (Point Estimation), Chapter 8 (Hypothesis Testing), Chapter 9 (Interval Estimation) and Chapter 10 (Asymptotic Evaluations). This also includes an introduction to the effect of model selection on confidence intervals. This subject is co-offered with STA4TS although assumes a deeper level of understanding of the subject content.

FacultyFaculty of Science, Tech & Engineering

Credit points15

Subject Co-ordinatorPaul Kabaila

Available to Study Abroad StudentsYes

Subject year levelYear Level 5 - Masters

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites STA3SI or STA4SI

Co-requisitesN/A

Incompatible subjects STA4TS

Equivalent subjectsN/A

Special conditions Non-LTU students (i.e. RMIT or Monash University students) are expected to have a pre-requisite intermediate knowledge of linear models including associated linear algebra results and also of theory related to statistical inference.

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsStatistical Inference, 2nd edition (2002)RecommendedCasella, G. and Berger, R.L.N/A

Subject options

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Start date between: and    Key dates

Melbourne, 2014, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorPaul Kabaila

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%
Final examination (2-hour)60
Seven assignments (approx. 400 words each)40

Melbourne, 2014, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorPaul Kabaila

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%
Final examination (2-hour)60
Seven assignments (approx. 400 words each)40