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Overview

This course presents General interference theory based on maximum likelihood and on Bayes methods is reviewed. Estimation, confidence set construction and hypothesis testing are discussed within decision-theoretic framework. Computationally intensive methods such as bootstrap are discussed and are compared to asymptotic approximations such as saddlepoint and empirical likelihood.Pre-requisites: 24 units … For more content click the Read More button below.

Delivery

In-person - Standard (usually weekly or fortnightly)

Course Outline

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Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)