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: Using exploratory data analysis modified Box Plots to enhance Monte Carlo simulated Range Estimating Decision Technology
  name:
    name part: Clutter, David John
    name part: 1962-
    role:
      role term: creator
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: xx
    date issued: 1992
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    form: remote
    extent: ix, 57 leaves : illustrations ; 28 cm.
  abstract: Range Estimating Decision Technology (REDT) is a statistical analysis program designed to evaluate the quality of estimates. REDT provides two analysis of an estimate. 1) It evaluates the probability of attaining the estimated cost of a project. 2) It evaluates the line items of an estimate to determine which items have the greatest influence on potential gains or losses. However, current REDT cannot efficiently evaluate a data set as a whole and compare it to other sets of data. If this could be done REDT could potentially benefit in two ways. 1) An additional data analysis technique could help to further clarify an estimate improving its quality. 2) An additional analysis technique could provide additional information necessary for creating new applications of REDT. The Box Plot is a viable solution to evaluating data sets as a whole. It evaluates distributions and variabilities simultaneously and compares these measures of the data simply and understandably. The Box Plot works in unison with the other REDT analysis methods to measure exactly how much any given critical line item influences a simulations distribution of possible outcomes and its variability and how that effects the optimum determinate value. The subject of this thesis is to determine if an estimate can be substantially improved by using these measures of the data to modify an estimate. Two simulations of a hypothetical estimate were compared to evaluate the benefits of evaluating an estimate using the Box Plot analysis method. The Box Plot performed as expected, however the cost benefits for this detailed estimate were marginal. It was concluded that while the Box Plot analysis method does not dramatically improve an estimate, it does provide a means of supporting the reliability of current REDT analysis concepts and techniques. Additionally, the Box Plot provides two benefits to REDT. 1) It provides a simple but accurate means of comparing estimates. 2) It provides a means of determining what inf…
  note: by David John Clutter.
  note: "Major subject: Construction Management".
  note: Vita.
  note: Also available online.
  note: M.S. Texas A&M University 1992.
  note: Includes bibliographical references.
  subject:
    topic: Building
    topic: Estimates
    topic: Data processing
  subject:
    topic: Decision making
  subject:
    topic: Monte Carlo method
  subject:
    topic: Major construction management
  identifier: https://hdl.handle.net/1969.1/ETD-TAMU-1992-THESIS-C649
  related item:
    location:
      url: https://hdl.handle.net/1969.1/ETD-TAMU-1992-THESIS-C649
  record info:
    record content source: TXA
    record creation date: 940428
    record change date: 20220103115147.0
    record identifier: in00001162010