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Conditional Rank Tests for the Two-Sample Problem with Partially Observed Data

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Asymptotic Statistics

Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

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Abstract

In the two-sample random censorship model with the additional complication that the minimum variable is observable only for the uncensored data we develop asymptotically optimal conditional rank tests for testing the null hypothesis of randomness H 0 being finite sample distribution free under H o

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References

  • Albers, W. and Akritas, M.G. (1987). Combined rank tests for the two-sample problem with randomly censored data. J. American Statist. Ass., 82, 648–655.

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Author information

Authors and Affiliations

  1. Inst.f.Math.Stochastics, University of Hamburg, Bundesstr. 55, D-20146, Hamburg, Germany

    Georg Neuhaus

Authors
  1. Georg Neuhaus
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Editor information

Editors and Affiliations

  1. Department of Probability and Mathematical Statistics, Charles University, Sokolovská 83, CZ-186 00, Praha 8, Czech Republic

    Petr Mandl  & Marie Hušková  & 

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© 1994 Springer-Verlag Berlin Heidelberg

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Neuhaus, G. (1994). Conditional Rank Tests for the Two-Sample Problem with Partially Observed Data. In: Mandl, P., Hušková, M. (eds) Asymptotic Statistics. Contributions to Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57984-4_35

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  • DOI: https://doi.org/10.1007/978-3-642-57984-4_35

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-0770-7

  • Online ISBN: 978-3-642-57984-4

  • eBook Packages: Springer Book Archive

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