Credit points: 15
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.
FacultyFaculty of Science, Tech & Engineering
Subject Co-ordinatorAndriy Olenko
Available to Study Abroad StudentsYes
Subject year levelYear Level 3 - UG
|Resource Type||Title||Resource Requirement||Author and Year||Publisher|
|Readings||Introduction to Probability and Mathematical Statistics||Recommended||Bain, LJ and Engelhardt, M 2000||2ND EDN, DUXBURY.|
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Melbourne, 2014, Semester 1, Day
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorAndriy Olenko
Three 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
One 1.0 hours practical per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
|10 Assignments (approx. 250-300 words each)||30|
|3-hour short answer Final Examination||70|