rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Imputation techniques for reliability analysis based on partly internal censored data
  name:
    name part: Zyoud, Abdallah M. T.
    role:
      role term: creator
    role:
      role term: author
  name:
    name part: International Islamic University Malaysia
    name part: Department of Mechanical Engineering
  genre: Theses, IIUM local
  origin info:
    place:
      place term: my
    date issued: 2017
  language:
    language term: eng
  physical description:
    extent: xvii, 114 leaves : illustrations ; 30cm.
  abstract: In a conventional statistical analysis the term survival analysis or reliability analysis as it is known in engineering, has been used in a broad sense to describe collection of statistical procedures for data analysis for which the outcome variable of interest is time until an event occurs. The time to failure of a particular experimental unit might be censored and this censored can be right, left, and interval (Partly Interval Censored (PIC)). In this thesis the analysis of this particular model was based on non-parametric, semi-parametric Cox model, and parametric accelerated failure time model via PIC data. In these models several imputation techniques are used that is; midpoint, left & right point, random, mean, median, and Multiple Imputations (MI). The maximum likelihood estimate was considered to obtain the estimated survival function. These estimates were then compared to the existing model such as Turnbull and Cox model based on clinical trial data (breast cancer data), for which it showed the validity of our models. In contrast, the data needed to be modified to PIC data for the purpose of the researcher's needs. Likewise, engineering failure rates data was also modified to represent PIC data and then simulation data was generated where the failure rates were taken based on engineering PIC data and was also used to further compare these three methods of estimation. From the simulation study for this particular case, we can conclude that the semi-parametric Cox model proved to be more superior in terms of estimating the survival function, likelihood ratio test and their P-value. In additional to that, based on imputation techniques, the MI, midpoint, random, mean and median showed better results with respect to estimate of the survival function. For the ultimate results, even though the semi-parametric model showed better output compared with the nonparametric and parametric models, all three models can easily be implemented based on engineering data set, …
  note: by Abdallah M. T. Zyoud
  note: Thesis (MSME)--International Islamic University Malaysia, 2017.
  note: Includes bibliographical references (leaves 82-85).
  subject:
    geographic code: a-my---
  classification: TA169
  identifier: http://studentrepo.iium.edu.my/handle/123456789/4887
  record info:
    record content source: UIAM
    record creation date: 170426
    language of cataloging:
      language term: eng