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: Modeling of construction cost data for probabilistic range estimating limited by small data sets of historical costs
  name:
    name part: Evrenosoglu, Faik Burak.
    role:
      role term: creator
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: xx
    date issued: 1996
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xiii, 153 leaves : illustrations ; 28 cm.
  abstract: One of the difficulties in forecasting a future construction
  abstract: cost for a given facility type is the process of modeling
  abstract: historic cost data as a probability distribution. This
  abstract: process is to facilitate a range estimating methodology
  abstract: wherein future construction costs are defined as having a
  abstract: given probability of not being exceeded. Modeling historic
  abstract: cost as a probability distribution is particularly difficult
  abstract: when there is a small data set available to the estimator.
  abstract: In such cases, more than one type of probability distribution
  abstract: may statistically satisfy the modeling requirements. This
  abstract: thesis documents the efforts to investigate the statistical
  abstract: impact on the final estimate of using different probability
  abstract: distributions for modeling historic construction cost data.
  abstract: Cost data of seven 2250 bed unit prison facilities, obtained
  abstract: from Texas Department of Criminal Justice are used for
  abstract: analysis. Methods of fitting sample data to different
  abstract: distribution types are reviewed. The problems associated
  abstract: with estimating the parameters of triangular distribution
  abstract: based on historical data are identified and a least squares
  abstract: minimization procedure to estimate the parameters of
  abstract: triangular distribution is proposed. Specifically, issues
  abstract: related to triangular, lognormal, gamma, beta, normal and
  abstract: uniform distributions are discussed. Based on the
  abstract: statistical impacts to the final cost estimate, lognormal or
  abstract: gamma distributions are recommended for modeling construction
  abstract: cost data.
  note: by Faik Burak Evrenosoglu.
  note: Vita.
  note: "Major subject: Civil Engineering".
  note: Issued also on microfiche from Lange Micrographics.
  note: Includes bibliographical references.
  note: M.S. Texas A&M University 1996.
  subject:
    topic: Major civil engineering
  record info:
    record content source: TXA
    record creation date: 970407
    record change date: 20151006060234.0
    record identifier: in00001349280