## Found 27 Documents (Results 1–27)

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### Pseudo-maximum likelihood estimators in linear regression models with fractional time series. (English)Zbl 1477.62246

MSC:  62M10 62J05 62F12
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### Local regression smoothers with set-valued outcome data. (English)Zbl 1466.62369

MSC:  62J05 62R01 62P10
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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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### From fuzzy regression to gradual regression: interval-based analysis and extensions. (English)Zbl 1440.62292

MSC:  62J86 68T37
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### Off the beaten track: a new linear model for interval data. (English)Zbl 1395.62199

MSC:  62J05 62H30
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MSC:  62A86
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MSC:  62J05
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MSC:  62J05
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### Fuzziness in data analysis: towards accuracy and robustness. (English)Zbl 1368.62079

MSC:  62F86 62F35
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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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### Testing the variability of interval data: an application to tidal fluctuation. (English)Zbl 1348.62256

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, 65-74 (2013).
MSC:  62P12 62G10
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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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### Linear regression analysis for interval-valued data based on set arithmetic: a review. (English)Zbl 1348.62191

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, 19-31 (2013).
MSC:  62J05 62J86 62-02
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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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### Weighted least squares and least median squares estimation for the fuzzy linear regression analysis. (English)Zbl 1302.62170

MSC:  62J86 62J05 62G35
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MSC:  62-XX
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### Confidence sets in a linear regression model for interval data. (English)Zbl 1242.62072

MSC:  62J05 62F25 62E20 65C60
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### Fuzzy statistical analysis of multiple regression with crisp and fuzzy covariates and applications in analyzing economic data of China. (English)Zbl 1241.91143

MSC:  91G70 62J86
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### Estimation of a flexible simple linear model for interval data based on set arithmetic. (English)Zbl 1464.62030

MSC:  62-08 62J05 62P20
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### A clusterwise center and range regression model for interval-valued data. (English)Zbl 1436.62371

Lechevallier, Yves (ed.) et al., Proceedings of COMPSTAT’2010. 19th international conference on computational statistics, Paris, France, August 22–27, 2010. Keynote, invited and contributed papers. Heidelberg: Physica Verlag. 461-468 (2010).
MSC:  62J99 62H30 62-08
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### QML estimators in linear regression models with functional coefficient autoregressive processes. (English)Zbl 1189.62111

MSC:  62J05 62M10 62F10
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