STATISTICAL INFERENCE
STM3SI
2021
Credit points: 15
Subject outline
Statistical inference is used to describe procedures that draw conclusions from datasets arising from systems affected by random variation. This subject comprises components in estimation and testing hypotheses. Topics in the first component include method of moments and maximum likelihood, reduction by sufficiency and invariance, unbiasedness, consistency, efficiency and robustness. The second component examines size and power of tests, Neyman-Pearson lemma, optimality of tests, the likelihood ratio test and relationship to confidence interval estimation. STM3SI is co-taught with STM4SI.
SchoolEngineering and Mathematical Sciences
Credit points15
Subject Co-ordinatorAndriy Olenko
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 3 - UG
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
Subject particulars
Subject rules
PrerequisitesSTA2MD OR STM2PM
Co-requisitesN/A
Incompatible subjectsSTA3SI OR STA4SI OR STM4SI
Equivalent subjectsN/A
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Learning resources
Introduction to Probability and Mathematical Statistics
Resource TypeBook
Resource RequirementRecommended
AuthorBain, LJ and Engelhardt, M
Year2000
Edition/Volume2ND EDN
PublisherDUXBURY
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Career Ready
Career-focusedNo
Work-based learningNo
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Subject options
Select to view your study options…
Melbourne (Bundoora), 2021, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorAndriy Olenko
Class requirements
LectureWeek: 10 - 22
Three 1.00 hour lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
PracticalWeek: 10 - 22
One 1.00 hour practical per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
8 Assignments (approx.180 words each) | N/A | N/A | No | 30 | SILO1, SILO2, SILO3, SILO4 |
3-hour short answer Final Examination (approx. 3000 words) | N/A | N/A | No | 70 | SILO1, SILO2, SILO3, SILO4 |