A convex combination method for linear regression with interval data
© Springer International Publishing AG 2016. This paper introduces a new approach to fitting a linear regression model to interval-valued data by relaxing an assumption about using the center of interval data. We use convex combination between lower and upper values of the interval data as a paramet...
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| Main Authors: | , , |
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| Format: | Book Series |
| Published: |
2017
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| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85006004233&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/42460 |
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| Institution: | Chiang Mai University |
| Summary: | © Springer International Publishing AG 2016. This paper introduces a new approach to fitting a linear regression model to interval-valued data by relaxing an assumption about using the center of interval data. We use convex combination between lower and upper values of the interval data as a parameter with value between [0,1]. Thus, the center method becomes a special case of this method. For the real application we use Capital Asset Pricing model (CAPM) and Autoregressive model (AR(p)) with interval-valued data to show that this method can provide a better result than the center method based on the Akaike information criterion (AIC). |
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