
arXiv: 0708.1627
handle: 10419/79274 , 1721.1/66640
This paper applies a regularization procedure called increasing rearrangement to monotonize Edgeworth and Cornish-Fisher expansions and any other related approximations of distribution and quantile functions of sample statistics. Besides satisfying the logical monotonicity, required of distribution and quantile functions, the procedure often delivers strikingly better approximations to the distribution and quantile functions of the sample mean than the original Edgeworth-Cornish-Fisher expansions.
17 pages, 3 figures
FOS: Computer and information sciences, ddc:330, rearrangement, Statistische Verteilung, Econometrics (econ.EM), Schätztheorie, Cornish-Fisher expansion, higher order central limit theorem, Methodology (stat.ME), FOS: Economics and business, Edgeworth expansion, Statistical methods; economic indices and measures, Applications of statistics to economics, Theorie, Statistics - Methodology, Economics - Econometrics, jel: jel:C50, jel: jel:D10
FOS: Computer and information sciences, ddc:330, rearrangement, Statistische Verteilung, Econometrics (econ.EM), Schätztheorie, Cornish-Fisher expansion, higher order central limit theorem, Methodology (stat.ME), FOS: Economics and business, Edgeworth expansion, Statistical methods; economic indices and measures, Applications of statistics to economics, Theorie, Statistics - Methodology, Economics - Econometrics, jel: jel:C50, jel: jel:D10
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