Hybrid Least-Squares Regression Modelling Using Confidence Bounds

DOI10.1007/978-3-642-30278-7_5zbMath1348.62201OpenAlexW1571065907MaRDI QIDQ2829639

Bulent Tutmez, Uzay Kaymak

Publication date: 8 November 2016

Published in: Towards Advanced Data Analysis by Combining Soft Computing and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-30278-7_5

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Linear regression; mixed models (62J05) Fuzziness, and linear inference and regression (62J86)

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Cites Work

• Evaluation of fuzzy linear regression models
• Estimation of a simple linear regression model for fuzzy random variables
• Estimation of a flexible simple linear model for interval data based on set arithmetic
• Fuzzy least-squares algorithms for interactive fuzzy linear regression models
• Linear Regression Analysis with Fuzzy Model
• Hybrid fuzzy least-squares regression analysis and its reliability measures
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