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  • The aim of this article is to introduce the general form (so called RT class) of the robust and classical Jarque–Bera (JB) test based on the location functional. We introduce the two-step procedure which is optimal for testing against the individual or contaminated Pareto alternative. As a reference for such a contamination we consider different Pareto distributions. We also give practical guidelines for robust testing for normality against short- and heavy-tailed alternatives. We concentrate mainly on simulation results for moderate and small samples. However, we also prove consistency and asymptotic distribution for introduced tests. We show that as the suitable measure of nominal level of Pareto tail parameter we may take the t- Hill estimator introduced in the article. To guarantee the consistency of the whole procedure, we also prove the consistency of t-Hill estimator. The introduced general class of robust tests of the normality is illustrated at the selected datasets of financial time series.
  • The aim of this article is to introduce the general form (so called RT class) of the robust and classical Jarque–Bera (JB) test based on the location functional. We introduce the two-step procedure which is optimal for testing against the individual or contaminated Pareto alternative. As a reference for such a contamination we consider different Pareto distributions. We also give practical guidelines for robust testing for normality against short- and heavy-tailed alternatives. We concentrate mainly on simulation results for moderate and small samples. However, we also prove consistency and asymptotic distribution for introduced tests. We show that as the suitable measure of nominal level of Pareto tail parameter we may take the t- Hill estimator introduced in the article. To guarantee the consistency of the whole procedure, we also prove the consistency of t-Hill estimator. The introduced general class of robust tests of the normality is illustrated at the selected datasets of financial time series. (en)
Title
  • Small Sample Robust Testing for Normality against Pareto Tails
  • Small Sample Robust Testing for Normality against Pareto Tails (en)
skos:prefLabel
  • Small Sample Robust Testing for Normality against Pareto Tails
  • Small Sample Robust Testing for Normality against Pareto Tails (en)
skos:notation
  • RIV/67985807:_____/12:00376157!RIV13-AV0-67985807
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • V, Z(AV0Z10300504)
http://linked.open...iv/cisloPeriodika
  • 7
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
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  • 168562
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  • RIV/67985807:_____/12:00376157
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • consistency; Hill estimator; t-Hill estimator; location functional; Pareto tail; power comparison; returns; robust tests for normality (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [958C302185B9]
http://linked.open...i/riv/nazevZdroje
  • Communications in Statistics - Simulation and Computation and Communications in Statistics Part B - Simulation and Computation
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 41
http://linked.open...iv/tvurceVysledku
  • Fabián, Zdeněk
  • Stehlík, M.
  • Střelec, L.
http://linked.open...ain/vavai/riv/wos
  • 000304853800018
http://linked.open...n/vavai/riv/zamer
issn
  • 0361-0918
number of pages
http://bibframe.org/vocab/doi
  • 10.1080/03610918.2012.625849
is http://linked.open...avai/riv/vysledek of
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