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A History of the Delta Method and Some New Results
Sankhya B, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Anil K. Bera, Malabika Koley
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Application domains for the Delta method
Statistics, 2013The Delta method uses truncated Lagrange expansions of statistics to obtain approximations to their distributions. In this paper, we consider statistics Y=g(μ+X), where X is any random vector. We obtain domains 𝒟 such that, when μ∈𝒟, we may apply the distribution derived from the Delta method.
Nunes, Célia +2 more
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SSRN Electronic Journal, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hong, Han, Li, Jessie
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hong, Han, Li, Jessie
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1996
After giving the general principle of the delta-method, we consider the special case of Gaussian limits and the “conditional” delta-method, which applies to the bootstrap. The chapter closes with a large number of examples.
Aad W. van der Vaart, Jon A. Wellner
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After giving the general principle of the delta-method, we consider the special case of Gaussian limits and the “conditional” delta-method, which applies to the bootstrap. The chapter closes with a large number of examples.
Aad W. van der Vaart, Jon A. Wellner
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Who Invented the Delta Method, Really?
The Mathematical Intelligencer, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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