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:
    non sort: A
    title: PC program for the parameter estimation of nonlinear growth models with unequally spaced correlated observations
  name:
    name part: White, Edward Dalton
    name part: 1967-
    role:
      role term: creator
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: xx
    date issued: 1998
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xiv, 178 leaves : illustrations ; 28 cm.
  abstract: This dissertation describes a personal computer (PC) program, PCGrowth, which estimates parameters of nonlinear growth models using data that are unequally spaced and correlated. We discuss other software packages capable of fitting nonlinear growth models. Limitations of these software packages prompted development of PCGrowth. PCGrowth is a Windows-based application that incorporates common nonlinear growth models and the Omstein-Uhlenbeck stochastic process. PCGrowth can fit and/or simulate growth data from a single animal or from multiple independent animals. This dissertation describes the growth models incorporated in PCGrowth: generalized logistic, von Bertalanffy, Gompertz, and Roy-Potthoff polynomial. We present historical and mathematical backgrounds of these growth models. PCGrowth employs a derivative-free algorithm for maximum likelihood estimation of growth model parameters. This dissertation describes both PCGrowth's algorithm and algorithms used in other software. We use quadratic approximation to estimate standard errors and correlations of parameter estimates in PCGrowth. Examples of growth curve estimation using real and simulated data illustrate the utility of PCGrowth. Lastly, we investigate the asymptotic properties of parameter estimators analytically and via simulation.
  note: by Edward Dalton White, III.
  note: Vita.
  note: "Major Subject: Statistics".
  note: Issued also on microfiche from University Microfilms Inc.
  note: Ph. D. Texas A&M University 1998.
  note: Includes bibliographical references: pages 168-177.
  subject:
    topic: Major statistics
  identifier: 99-03227 UMI
  identifier: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  record info:
    record content source: TXA
    record creation date: 990329
    record change date: 20190325093414.0
    record identifier: in00001462403