Asymptotic Statistics

van der Vaart, A. W. (1998). Asymptotic Statistics. Cambridge University Press.

Type

Book

Intellectual base

Review or monograph

Year

1998

DOI

10.1017/cbo9780511802256

ISBN

9780511802256

DOI registrant

Cambridge University Press

Link

https://doi.org/10.1017/CBO9780511802256

Cited by

4 citations across 4 artifacts.

Each citation links to the sentence it supports in the citing article.

Domain-specific

• Consistency (statistics)
  • … procedure sequence, data-generating assumptions, sample-growth path, convergence mode, and treatment of nuisance parameters are explicit and the relevant error vanishes asymptotically. to An applied instance preserves the same invariant under a changed scale, notation, jurisdiction, dataset, or implementation..
• Fisher Consistency
  • Listed in the references but not attached to a specific claim.
• Statistical Model
  • Van der Vaart's asymptotic framework treats estimators and tests over parameterized experiments whose complexity may grow or be infinite-dimensional.

    This sourceDevelops model-indexed asymptotic inference across parametric and broader statistical settings.

Mechanisms

• Confidence Interval Propagation
  • The delta method is the general-purpose tool

    This sourcePresents the delta method as a general first-order tool for differentiable transformations of estimators.

Verification

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Does it back the claim? Not recorded. Neither this nor any other of the 4 citations of this work carries a recorded support check.

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Registry ID ref:43c008de4de2 · see in the full table