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http://dx.doi.org/10.7465/jkdi.2012.23.1.071

Estimations of the student numbers by nonlinear regression model  

Yoon, Yong-Hwa (Department of Computing & Statistics, Daegu University)
Kim, Jong-Tae (Department of Computing & Statistics, Daegu University)
Publication Information
Journal of the Korean Data and Information Science Society / v.23, no.1, 2012 , pp. 71-77 More about this Journal
Abstract
This paper introduces the projection methods by nonlinear regression model. To predict the student numbers, a log model and an involution model as the kind of a trend-extrapolation method are used. Empirical evidence shows that a projection by log model is better than by involution model with the confidence interval estimations for the coefficients of determination.
Keywords
Involution model; log model; nonlinear regression model;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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