• DocumentCode
    963072
  • Title

    Authors\´ reply to "A note on \´An empirical comparison of forgetting models\´"

  • Author

    Nembhard, David A. ; Osothsilp, Napassavong

  • Author_Institution
    Dept. of Ind. & Manuf. Eng., Penn State Univ., University Park, PA, USA
  • Volume
    51
  • Issue
    2
  • fYear
    2004
  • fDate
    5/1/2004 12:00:00 AM
  • Firstpage
    235
  • Abstract
    The modeling of human learning and forgetting has justifiably received increased attention in recent years. The ability to bridge the gap between the findings of experimentalists and empiricists in this area should allow for the research community to develop ever-improving models. In their research note Jaber and Sikstrom (see ibid., vol.51, no.2, p.233-4, 2004) raise an important issue, namely the question of how well the learn-forget curve model (LFCM) can be expected to perform in practical situations. Past studies have shown a range of expectations regarding this model. From a definitive standpoint, while the present discussion may not fully resolve the question, there are significant and interesting differences between these studies, which are described below. The goal of this note is to clarify and quantify these differences in order to set a framework for continued work on the LFCM model and potentially other models in this area.
  • Keywords
    production management; LFCM model; data size; empirical comparison; estimative evaluation method; forgetting models; learn-forget curve model; predictive evaluation method; productivity estimation; sample size; unit analysis; Bridges; Extrapolation; Humans; Industrial engineering; Manufacturing industries; Parameter estimation; Performance analysis; Predictive models; Production; Productivity;
  • fLanguage
    English
  • Journal_Title
    Engineering Management, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9391
  • Type

    jour

  • DOI
    10.1109/TEM.2004.826348
  • Filename
    1288447