Title page for etd-0620107-201022


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URN etd-0620107-201022
Author Yun-yuan Chung
Author's Email Address No Public.
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Department Applied Mathematics
Year 2006
Semester 2
Degree Master
Type of Document
Language English
Title A Bootstrap Application in Adjusting Asymptotic Distribution for Interval-Censored Data
Date of Defense 2007-05-25
Page Count 35
Keyword
  • bootstrap
  • interval-censored data
  • log-rank test
  • Abstract Comparison of two or more failure time distributions based on interval-censored data is tested by extension of log-rank test proposed by Sun (1996, 2001, 2004). Furthermore, Chang (2004) verified that the proposed test statistics are approximately chi-cquare with degrees of freedom p-1 after constants factor adjustment which can be obtained from simulations. In this paper we approach in a different way to estimate the adjustment factor of a given interval-censored data by applying the bootstrap technique to the test statistics. Simulation results indicate that the bootstrap technique performs well on those test statistics except the one proposed in 1996. By using chi-square goodness of fit test, we found that Sun's test in 1996 is significantly far from any chi-square.
    Advisory Committee
  • Fu-Chuen Chang - chair
  • Mong-Na Lo Huang - co-chair
  • Mei-Hui Guo - co-chair
  • Chin-San Lee - advisor
  • Files
  • etd-0620107-201022.pdf
  • indicate in-campus access immediately and off_campus access in a year
    Date of Submission 2007-06-20

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