Linear Regression Analysis for Interval-valued Data Based on Set Arithmetic: A Review

DOI10.1007/978-3-642-30278-7_2zbMath1348.62191OpenAlexW60320555MaRDI QIDQ2829636

Angela Blanco-Fernández, Ana Colubi, Gil González-Rodríguez

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_2

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Fuzziness, and linear inference and regression (62J86)

Related Items (7)

Multiple mediation analysis for interval-valued data ⋮ An exploratory data analysis in scale-space for interval-valued data ⋮ A set arithmetic-based linear regression model for modelling interval-valued responses through real-valued variables ⋮ Off the beaten track: a new linear model for interval data ⋮ Interval-valued data regression using nonparametric additive models ⋮ A Linear Regression Model for Interval-Valued Response Based on Set Arithmetic ⋮ Arithmetic and Distance-Based Approach to the Statistical Analysis of Imprecisely Valued Data

Cites Work

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• Estimation of a simple linear regression model for fuzzy random variables
• The theory of fuzzy stochastic processes
• Estimation of a flexible simple linear model for interval data based on set arithmetic
• Least squares estimation of linear regression models for convex compact random sets

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