Asymptotic properties of a goodness-of-fit test based on maximum correlations

DOI10.1080/02331888.2011.588709zbMath1440.62153OpenAlexW2001246535MaRDI QIDQ5299473

Aurea Grané, A. V. Tchirina

Publication date: 25 June 2013

Published in: Unnamed Author (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10016/3073

zbMATH Keywords

goodness-of-fitmaximum correlationL-statisticslocal asymptotic optimalityBahadur asymptotic relative efficiency

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Order statistics; empirical distribution functions (62G30) Large deviations (60F10)

Related Items (7)

On the asymptotic power of a goodness-of-fit test based on a cumulative Kullback-Leibler discrepancy ⋮ Asymptotic efficiency of goodness-of-fit tests based on Too–Lin characterization ⋮ Exact goodness-of-fit tests for censored data ⋮ Bahadur efficiency for certain goodness-of-fit tests based on the empirical characteristic function ⋮ Goodness-of-fit test for randomly censored data based on maximum correlation ⋮ Sharp large deviations for a class of normalized L-statistics and applications ⋮ An exponential nonuniform convergence rate for a class of normalized L-statistics

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