Title page for etd-0712105-165324


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URN etd-0712105-165324
Author Yi-Ling Chen
Author's Email Address No Public.
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Department Applied Mathematics
Year 2004
Semester 2
Degree Master
Type of Document
Language English
Title Mixture models for estimating operation time distributions.
Date of Defense 2005-06-03
Page Count 47
Keyword
  • classification
  • EM algorithm
  • MLE
  • likelihood ratio test
  • mixture of log-normal distributions.
  • gynecology
  • Abstract Surgeon operation time is a useful and important information for hospital management, which involves operation time estimation for patients under different diagnoses, operation room scheduling, operating room utilization improvements and so on. In this work, we will focus on studying the operation time distributions of thirteen operations performed in the gynecology (GYN) department of one major teaching hospital in southern Taiwan. We firstly investigate what types of distributions are suitable in describing these operation times empirically, where log-normal and mixture log-normal distribution are identified to be acceptable statistically in describing these operation times. Then we compare and characterize the operations into different categories based on the operation time distribution estimates. Later we try to illustrate the possible reason why distributions
    for some operations with large data set turn out to be mixture of certain log-normal distributions. Finally we end with discussions on possible future work.
    Advisory Committee
  • Mei-Hui Guo - chair
  • Fu-Chuen Chang - co-chair
  • Ray-Bing Chen - co-chair
  • Kam-Fai Wong - co-chair
  • Mong-Na Lo Huang - advisor
  • Files
  • etd-0712105-165324.pdf
  • indicate accessible in a year
    Date of Submission 2005-07-12

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