Goodness-of-fit statistics based on weighted \(L_ p\)-functionals

DOI10.1016/S0167-7152(97)00021-7zbMath0889.62036OpenAlexW2069050463MaRDI QIDQ1373971

Ibrahim A. Ahmad

Publication date: 21 June 1998

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

Full work available at URL: https://doi.org/10.1016/s0167-7152(97)00021-7

zbMATH Keywords

asymptotic normalityLp-distance

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20)

Related Items (2)

Asymptotic behavior of weighted multivariate Cramér-von Mises-type statistics under contiguous alternatives ⋮ Integral distribution-free statistics of \(L_p\)-type and their asymptotic comparison

Cites Work

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• On the distributions of \(L_ p\) norms of weighted uniform empirical and quantile processes
• On the asymptotic normality of statistics with estimated parameters
• On the effect of substituting parameter estimators in limiting \(\chi ^ 2U\) and V statistics
• Modification of some goodness-of-fit statistics to yield asymptotically normal null distributions
• Goodness-of-fit tests on a circle

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