STATISTICS SEMINAR SERIES :: Analysis of Window-Observation Recurrence Data

Event Details
  • Date/Time:
    • Thursday December 1, 2005 - Wednesday November 30, 2005
      10:00 am - 11:00 pm
  • Location: Executive Room #228
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    N/A
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Contact
Barbara Christopher
Industrial and Systems Engineering
Contact Barbara Christopher
404.385.3102
Summaries

Summary Sentence: STATISTICS SEMINAR SERIES :: Analysis of Window-Observation Recurrence Data

Full Summary: STATISTICS SEMINAR SERIES :: Analysis of Window-Observation Recurrence Data

Many systems experience recurrent events. Recurrence data are collected to analyze quantities of interest, such as the mean cumulative number of events or the mean cumulative cost of events. Methods of analysis are available for recurrence data with left and/or right censoring. Due to practical constraints, however, recurrence data are sometimes recorded only in windows with gaps between the windows. This talk extends existing methods, both non-parametric and parametric, to window-observation recurrence data. The non-parametric estimator requires minimum assumptions, but will be biased if the size of the risk set is not positive over the entire period of interest. There is no such difficulty when using a parametric model for the recurrence data. For cases in which the size of the risk set is zero for some periods of time, we propose a simple method that uses a parametric adjustment to the non-parametric estimator. The methods are illustrated with numerical examples. (This is joint work with Jianying Zuo and William Q. Meeker.)

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H. Milton Stewart School of Industrial and Systems Engineering (ISYE)

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Status
  • Created By: Barbara Christopher
  • Workflow Status: Published
  • Created On: Oct 8, 2010 - 7:36am
  • Last Updated: Oct 7, 2016 - 9:52pm