THEORY OF STATISTICS
Not currently offered
Credit points: 15
This subject builds on the knowledge of classical statistical inference developed in STM3SI (Statistical Inference). You will be introduced to proofs of some fundamental results in the advanced theory of statistical inference, including principles of data reduction, point estimation, hypothesis testing, interval estimation, asymptotic evaluations and the effect of model selection on confidence intervals. Some of these proofs are presented by the teacher in lectures and some of these proofs are derived independently by the you as parts of your assignments. In addition, the subject introduces you to some important practical applications of advanced theory of statistical inference. This is achieved both by the teacher describing these applications in lectures and you discovering these applications through carrying out your assignments.
SchoolEngineering and Mathematical Sciences
Subject Co-ordinatorPaul Kabaila
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 4 - UG/Hons/1st Yr PG
Available as ElectiveNo
Prerequisites STA3SI or STM3SI or STA4SI or admission into SMDS
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsA sufficient background in probability and statistics is required to undertake this subject.
Minimum credit point requirementN/A
AuthorRecommended text: Casella, G. and Berger, R.L .
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
Intended Learning Outcomes
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