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Multivariate non-parametric estimates

  • Philip Hougaard
Part of the Statistics for Biology and Health book series (SBH)

Abstract

It is desirable to have a completely non-parametric estimate of a multivariate survival distribution. This has the advantage of not requiring distributional assumptions, but it does, of course, require some structural assumptions, namely, independence of groups and identical multivariate distributions for the groups. It could serve as a baseline for evaluating the fit of more specific models. In principle, it allows for assessment of the dependence, but it may be inefficient compared to a fully parametric or semi-parametric estimate.

Keywords

Survivor Function Marginal Distribution Frailty Model Bivariate Case Marginal Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2000

Authors and Affiliations

  • Philip Hougaard
    • 1
  1. 1.Department of StatisticsNovo Nordisk A/SBagsvaerdDenmark

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