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Multivariate nonparametric tests for independence

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Publication:1257748
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DOI10.1016/0047-259X(77)90068-9zbMath0406.62026MaRDI QIDQ1257748

Harry S. Wieand, Bimal Kumar Sinha

Publication date: 1977

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)


zbMATH Keywords

Pitman EfficiencyAsymptotic NormalityComparison of TestsEmpirical Distribution FunctionsScore FunctionsTesting Independence of the Components of P-Variate Random Vector


Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10)


Related Items

Distance-based and RKHS-based dependence metrics in high dimension ⋮ K-Sample Test for Equality of Copulas ⋮ A multivariate nonparametric test of independence ⋮ On the limiting Pitman efficiency of some rank tests of independence ⋮ Nonparametric comparison of epidemic time trends: the case of COVID-19



Cites Work

  • A condition under which the Pitman and Bahadur approaches to efficiency coincide
  • Multivariate Generalization of Kendall's Tau with Application to Data Reduction
  • A Class of Nonparametric Tests for Independence in Bivariate Populations
  • Distribution Free Tests of Independence Based on the Sample Distribution Function
  • Stochastic Comparison of Tests
  • Asymptotic Normality of Nonparametric Tests for Independence
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