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Wiley Interdisciplinary Reviews Computational Statistics
Article . 2023 . Peer-reviewed
License: CC BY NC
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zbMATH Open
Article . 2024
Data sources: zbMATH Open
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Delta method, asymptotic distribution

Authors: Eric Beutner;

Delta method, asymptotic distribution

Abstract

AbstractThe delta method for deriving asymptotic distributions is presented. Assume interest lies in where is an unknown parameter and is a known function. The delta method allows to immediately obtain an approximation of the distribution of the plug‐in estimator through the asymptotic distribution ofwheneverthe asymptotic distribution of is known and is differentiable at .This article is categorized under:Data: Types and Structure > Time Series, Stochastic Processes, and Functional Data

Country
Netherlands
Keywords

plug-in estimator, asymptotic distribution, Computational methods for problems pertaining to statistics, delta method, differentiable function

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    influence
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
hybrid