A uniform strong law of large numbers for \(U\)-statistics with application to transforming to near symmetry

DOI10.1016/S0167-7152(00)00143-7zbMath0983.60017OpenAlexW2006762291WikidataQ126781686 ScholiaQ126781686MaRDI QIDQ5933638

Richard A. Johnson, In-Kwon Yeo

Publication date: 1 November 2001

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(00)00143-7

zbMATH Keywords

uniform convergencetransformationsempirical characteristic functionRubin theorem

Mathematics Subject Classification ID

Strong limit theorems (60F15)

Related Items (1)

Transformations to symmetry based on the probability weighted characteristic function

Cites Work

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• On the asymptotic normality of statistics with estimated parameters
• The empirical characteristic function and its applications
• On the effect of substituting parameter estimators in limiting \(\chi ^ 2U\) and V statistics
• A new family of power transformations to improve normality or symmetry
• Uniform Convergence of Random Functions with Applications to Statistics

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