STATISTICAL INFERENCE
STM3SI
2020
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.
School: Engineering and Mathematical Sciences (Pre 2022)
Credit points: 15
Subject Co-ordinator: Andriy Olenko
Available to Study Abroad/Exchange Students: Yes
Subject year level: Year Level 3 - UG
Available as Elective: No
Learning Activities: N/A
Capstone subject: No
Subject particulars
Subject rules
Prerequisites: STM2PM OR STA2MD
Co-requisites: N/A
Incompatible subjects: STM4SI OR STA3SI OR STA4SI
Equivalent subjects: N/A
Quota Management Strategy: N/A
Quota-conditions or rules: N/A
Special conditions: N/A
Minimum credit point requirement: N/A
Assumed knowledge: N/A
Learning resources
Introduction to Probability and Mathematical Statistics
Resource Type: Book
Resource Requirement: Recommended
Author: Bain, LJ and Engelhardt, M
Year: 2000
Edition/Volume: 2ND EDN
Publisher: DUXBURY
ISBN: N/A
Chapter/article title: N/A
Chapter/issue: N/A
URL: N/A
Other description: N/A
Source location: N/A
Career Ready
Career-focused: No
Work-based learning: No
Self sourced or Uni sourced: N/A
Entire subject or partial subject: N/A
Total hours/days required: N/A
Location of WBL activity (region): N/A
WBL addtional requirements: N/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Melbourne (Bundoora), 2020, Semester 1, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Subject Instance Co-ordinator: Andriy 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 |