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Studying the bandwidth in $$k$$ -sample smooth tests

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  • Pablo Martínez-Camblor
  • Jacobo Uña-Álvarez

Abstract

In this paper, the problem of bandwidth choice in smooth k-sample tests is considered. Three different bootstrap methods are discussed and implemented. All the methods persecute the bandwidth leading to the maximum power, while preserving the level of the test. The relative performance of the methods is investigated in a simulation study. Illustration through real medical data is provided. The main conclusion is that the bootstrap minimum method provides a good compromise between statistical power and conservativeness. Robustness of the methods with respect to the number of bootstrap resamples and practical limitations are discussed. Copyright Springer-Verlag 2013

Suggested Citation

  • Pablo Martínez-Camblor & Jacobo Uña-Álvarez, 2013. "Studying the bandwidth in $$k$$ -sample smooth tests," Computational Statistics, Springer, vol. 28(2), pages 875-892, April.
    • Handle: RePEc:spr:compst:v:28:y:2013:i:2:p:875-892
    DOI: 10.1007/s00180-012-0333-1
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    References listed on IDEAS

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