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Now showing items 21-22 of 22

  • A risk assessment tool for highly energetic break-up events during the atmospheric re-entry 

    De Persis, Cristina (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2017)
    Most unmanned space missions end up with a destructive atmospheric re-entry. From ten to forty percent of a re-entering satellite’s mass may survive re-entry and hit the Earth’s surface. This has the potential to be a ...
  • The Impact of Performing a Network Meta-Analysis with Imperfect Evidence 

    LEAHY, JOY (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2019)
    Network meta-analysis (NMA) is an important aspect of evidence synthesis in a clinical setting, as it allows us to compare treatments which may not have been analysed in the same trial. In an ideal scenario we would have ...