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Last updated 1:45 PM on 5/20/26
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11 Terms
1
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Transformations
2
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Properties of estimators
Bias
3
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Estimating means and variances
4
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Information
Observed Information
Expected Information
CRLB
Efficiency
5
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Large Sample Properties of the MLE
Wald intervals
6
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Standard 1 and 2 sample tests
7
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Likelihood Ratio Tests - simple hypotheses
8
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UMP Tests and Monotone Likelihood Ratio
9
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Generalised Likelihood Ratio Tests and Wilks Theorem
10
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Non-informative Priors
Non-informative priors aim to encode minimal prior knowledge while allowing the data to dominate
Some non-informative priors are improper, and so must check that the posterior is proper
They provide principled priors, but require care
11
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Large sample approximation
