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Asymptotic normality
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Words: 119
Articles: 5
An estimator is asymptotically normal when a rescaled estimation error converges in distribution to a normal law.
Table of contents
119
5
Slutsky theorem
Asymptotic normality
14
Sandwich covariance matrix
Asymptotic normality
15
Delta method
Asymptotic normality
34
1
Asymptotic distribution of the Gaussian sample correlation
Delta method
18
Endpoint asymptotics of the symmetric-uniform maximum likelihood estimator
Asymptotic normality
39
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Statistical inference
Probability and statistics
Area of mathematics
Mathematics
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