Journal of the Korean Statistical Society

  • 제26권3호
  • /
  • Pages.319-332
  • /
  • 1997
  • /
  • 1226-3192(pISSN)
  • /
  • 2005-2863(eISSN)
한국통계학회 (The Korean Statistical Society)
권호 표지

Rank Tests for Multivariate Linear Models in the Presence of Missing Data

  • Lee, Jae-Won (Department of Statistics, Korea University, Seoul 136-701) ;
  • David M. Reboussin (Department of Public Health Sciences, Bowman Gray School of Medicine, Winston Salem, NC 27157, USA)
  • 발행 : 1997.09.01
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초록

The application of multivariate linear rank statistics to data with item nonresponse is considered. Only a modest extension of the complete data techniques is required when the missing data may be thought of as a random sample, and an appropriate modification of the covariances is derived. A proof of the asymptotic multivariate normality is given. A review of some related results in the literature is presented and applications including longitudinal and repeated measures designs are discussed.

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참고문헌

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