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Statistical Modeling of Learning Curves with Binary Response Data
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 Title & Authors
Statistical Modeling of Learning Curves with Binary Response Data
Lee, Seul-Ji; Park, Man-Sik;
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 Abstract
As a worker performs a certain operation repeatedly, he tends to become familiar with the job and complete it in a very short time. That means that the efficiency is improved due to his accumulated knowledge, experience and skill in regards to the operation. Investing time in an output is reduced by repeating any operation. This phenomenon is referred to as the learning curve effect. A learning curve is a graphical representation of the changing rate of learning. According to previous literature, learning curve effects are determined by subjective pre-assigned factors. In this study, we propose a new statistical model to clarify the learning curve effect by means of a basic cumulative distribution function. This work mainly focuses on the statistical modeling of binary data. We employ the Newton-Raphson method for the estimation and Delta method for the construction of confidence intervals. We also perform a real data analysis.
 Keywords
Learning curve;binary response;cumulative distribution function;Newton-Raphson method;Delta method;
 Language
Korean
 Cited by
1.
개수형 자료에 대한 학습곡선효과의 모형화,최민지;박만식;

응용통계연구, 2014. vol.27. 3, pp.445-459 crossref(new window)
2.
통신 상품별 VOC 영향 요인과 학습곡선에 관한 연구,정소기;차경천;

한국통신학회논문지, 2014. vol.39B. 8, pp.518-527 crossref(new window)
3.
일반화 이산형 분포를 이용한 학습곡선의 모형화,강민아;박만식;

Journal of the Korean Data Analysis Society, 2015. vol.17. 1B, pp.127-140
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Modeling of The Learning-Curve Effects on Count Responses, Korean Journal of Applied Statistics, 2014, 27, 3, 445  crossref(new windwow)
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A Study on the Learning Curve and VOC Factors Affecting of Telecommunication Services, The Journal of Korea Information and Communications Society, 2014, 39B, 8, 518  crossref(new windwow)
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