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Journal of Multivariate Analysis
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Journal of Multivariate Analysis
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Strassen's LIL for the Lorenz Curve

Strassen's LIL for the Lorenz curve
Authors: Csörgő, Miklós; Zitikis, Ricardas;

Strassen's LIL for the Lorenz Curve

Abstract

The authors prove Strassen's law of the iterated logarithm for the Lorenz process assuming that the underlying d.f. \(F\) and its inverse \(F^{-1}\) are continuous and the moment \(EX^{2+u}\) is finite for some \(u>0\). Previously, the first author, \textit{S. Csörgö} and \textit{L. Horváth} [``An asymptotic theory for empirical reliability and concentration processes'' (1986; Zbl 0605.62105)] and \textit{R. C. Rao} and \textit{L. C. Zhao} [J. Multivariate Anal. 54, No. 2, 239-252 (1995)] proved strong invariance principle for Lorenz process using stronger assumptions on \(f\) and \(F\). Using a limit theorem for the general integrated empirical difference process and techniques of \textit{W. Vervaat} [Z. Wahrscheinlichkeitstheorie Verw. Geb. 23, 245-253 (1972; Zbl 0238.60018)] and \textit{Polonik} (Shorack and Wellner, 1986), the authors are able to obtain sharper results for Lorenz process.

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Keywords

Statistics and Probability, integrated empirical difference process, redudancy process, Numerical Analysis, total time on test function, Strong limit theorems, Functional limit theorems; invariance principles, Applications of renewal theory (reliability, demand theory, etc.), quantile process, mean residual life process, Strassen's law of the iterated logarithm, empirical process, Shannon process, Lorenz process of orderν, Lorenz curve, strong invariance principle, Lorenz process, Vervaat process, relative compactness, Statistics, Probability and Uncertainty

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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!
19
Average
Top 10%
Top 10%
hybrid