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http://dx.doi.org/10.5351/KJAS.2014.27.3.445

Modeling of The Learning-Curve Effects on Count Responses  

Choi, Minji (Department of Statistics, Sungshin Women's University)
Park, Man Sik (Institute of Statistics, Sungshin Women's University)
Publication Information
The Korean Journal of Applied Statistics / v.27, no.3, 2014 , pp. 445-459 More about this Journal
Abstract
As a certain job is repeatedly done by a worker, the outcome comparative to the effort to complete the job gets more remarkable. The outcome may be the time required and fraction defective. This phenomenon is referred to a learning-curve effect. We focus on the parametric modeling of the learning-curve effects on count data using a logistic cumulative distribution function and some probability mass functions such as a Poisson and negative binomial. We conduct various simulation scenarios to clarify the characteristics of the proposed model. We also consider a real application to compare the two discrete-type distribution functions.
Keywords
Poisson distribution; negative binomial distribution; learning-curve effects; cumulative distribution function; maximum likelihood method;
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Times Cited By KSCI : 1  (Citation Analysis)
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