A MINIMIZATION METHOD FOR COMPUTING PARAMETER BOUNDS IN AN INTERVAL VALUED LINEAR REGRESSION MODEL USING INTERVAL ANALYSIS(Theory and Applications)
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概要
- 論文の詳細を見る
Interval data may appear in perturbed problems or when measured quanties are subject to error. Small errors in data also occur because of roundoff. We have used interval analysis to bound data values and their arithmetic solutions. An algorithm that uses the interval quadratic and Newton methods to enclose minimum values is used in a least-squares objective function. As a result, appropriate bounds for the coefficient of a regression model have been obtained. An example from cardiology in Billard and Diday (2000) is illustrated.
- 日本計算機統計学会の論文
著者
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Imai H
Hokkaido Univ. Sapporo‐shi Jpn
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Mwangi Ronald
Graduate School of Engineering, Hokkaido University
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Imai Hideyuki
Graduate School of Engineering, Hokkaido University
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Sato Yoshiharu
Graduate School of Engineering, Hokkaido University
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Sato Y
Micro Device Division Hitachi Ltd.:(present Address)semiconductor Technology Academic Research Cente
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Sato Yoshiharu
Graduate School Of Engineering Hokkaido University
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