## Found 5 Documents (Results 1–5)

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### Multiple linear regression models for random intervals: a set arithmetic approach. (English)Zbl 1482.62010

MSC:  62-08 62J05
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### Lasso estimation of an interval-valued multiple regression model. (English)Zbl 1337.62168

Grzegorzewski, Przemysław (ed.) et al., Strengthening links between data analysis and soft computing. Collected papers based on the presentations at the 7th international conference on soft methods in probability and statistics, SMPS 2014, Warsaw, Poland, September 22–24, 2014. Cham: Springer (ISBN 978-3-319-10764-6/pbk; 978-3-319-10765-3/ebook). Advances in Intelligent Systems and Computing 315, 185-191 (2015).
MSC:  62J07
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### On the estimation of the regression model $$M$$ for interval data. (English)Zbl 1348.62195

Borgelt, Christian (ed.) et al., Towards advanced data analysis by combining soft computing and statistics. Berlin: Springer (ISBN 978-3-642-30277-0/hbk; 978-3-642-30278-7/ebook). Studies in Fuzziness and Soft Computing 285, 43-52 (2013).
MSC:  62J05 62F10
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### A linear regression model for interval-valued response based on set arithmetic. (English)Zbl 06580225

Kruse, Rudolf (ed.) et al., Synergies of soft computing and statistics for intelligent data analysis. Papers based on the presentations at the 6th international conference on soft methods and probability and statistics, SMPS, Konstanz, Germany, October 4–6, 2012. Berlin: Springer. Adv. Intell. Syst. Comput. 190, 105-113 (2013).
MSC:  62-XX
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### A set arithmetic-based linear regression model for modelling interval-valued responses through real-valued variables. (English)Zbl 1321.62078

MSC:  62J05 62F10 65C60 65G30
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