Information Sciences: an International Journal
On the variance of fuzzy random variables
Fuzzy Sets and Systems
Fuzzy least-squares linear regression analysis using shape preserving operations
Information Sciences—Informatics and Computer Science: An International Journal
Linear regression analysis for fuzzy/crisp input and fuzzy/crisp output data
Computational Statistics & Data Analysis
Testing linear independence in linear models with interval-valued data
Computational Statistics & Data Analysis
Information Sciences: an International Journal
A grey-based rough approximation model for interval data processing
Information Sciences: an International Journal
Extended support vector interval regression networks for interval input-output data
Information Sciences: an International Journal
Management of uncertainty in Statistical Reasoning: The case of Regression Analysis
International Journal of Approximate Reasoning
Information Sciences: an International Journal
Constrained linear regression models for symbolic interval-valued variables
Computational Statistics & Data Analysis
Regression with fuzzy random data
Computational Statistics & Data Analysis
Dual models for possibilistic regression analysis
Computational Statistics & Data Analysis
Least squares estimation of a linear regression model with LR fuzzy response
Computational Statistics & Data Analysis
A linear regression model for imprecise response
International Journal of Approximate Reasoning
A revisited approach to linear fuzzy regression using trapezoidal fuzzy intervals
Information Sciences: an International Journal
Estimation of a flexible simple linear model for interval data based on set arithmetic
Computational Statistics & Data Analysis
Robust fuzzy regression analysis
Information Sciences: an International Journal
Standardization of interval symbolic data based on the empirical descriptive statistics
Computational Statistics & Data Analysis
Efficient bitmap-based indexing of time-based interval sequences
Information Sciences: an International Journal
Information Sciences: an International Journal
A reduced support vector machine approach for interval regression analysis
Information Sciences: an International Journal
| Hi-index | 0.07 |
A new linear regression model for an interval-valued response and a real-valued explanatory variable is presented. The approach is based on the interval arithmetic. Comparisons with previous methods are discussed. The new linear model is theoretically analyzed and the regression parameters are estimated. Some properties of the regression estimators are investigated. Finally, the performance of the procedure is illustrated using both a real-life application and simulation studies.