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
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