Title page for etd-0620103-131409


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URN etd-0620103-131409
Author De-Yu Sun
Author's Email Address suenderyeu@yahoo.com.tw
Statistics This thesis had been viewed 5066 times. Download 2369 times.
Department Applied Mathematics
Year 2002
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Generalized rank tests for univariate and bivariate interval-censored failure time data
Date of Defense 2003-05-30
Page Count 117
Keyword
  • Turnbull's algorithm
  • univariate interval-censored and truncated failu
  • non-parametric tests
  • bivariate interval-censored failure time data
  • simulation
  • Abstract  In Part 1 of this paper, we adapt Turnbull’s algorithm to estimate the distribution function of univariate interval-censored and truncated
    failure time data. We also propose four non-parametric tests to test whether two groups of the data come from the same distribution. The
    powers of proposed test statistics are compared by simulation under different distributions. The proposed tests are then used to analyze an AIDS study.
     In Part 2, for bivariate interval-censored data, we propose some models of how to generate the data and several methods to measure the
    correlation between the two variates. We also propose several nonparametric tests to determine whether the two variates are mutually independent or whether they have the same distribution. We demonstrate the performance of these tests by simulation and give an application to AIDS study(ACTG 181).
    Advisory Committee
  • Fu-Chuen Chang - chair
  • Mei-Hui Guo - co-chair
  • Chin-San Lee - advisor
  • Files
  • etd-0620103-131409.pdf
  • indicate access worldwide
    Date of Submission 2003-06-20

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