The statistical inferences of fuzzy regression based on bootstrap techniques
From MaRDI portal
Publication:344087
DOI10.1007/s00500-014-1415-5zbMath1349.62342OpenAlexW2009832223MaRDI QIDQ344087
Hye Young Jung, Woo-Joo Lee, Seung Hoe Choi, Jin Hee Yoon
Publication date: 22 November 2016
Published in: Soft Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00500-014-1415-5
Linear regression; mixed models (62J05) Bootstrap, jackknife and other resampling methods (62F40) Fuzziness, and linear inference and regression (62J86)
Related Items
Unnamed Item ⋮ An improved test selection optimization model based on fault ambiguity group isolation and chaotic discrete PSO ⋮ A fuzzy nonlinear univariate regression model with exact predictors and fuzzy responses ⋮ Unnamed Item ⋮ A partial-robust-ridge-based regression model with fuzzy predictors-responses ⋮ A robust multiple regression model based on fuzzy random variables ⋮ A robust varying coefficient approach to fuzzy multiple regression model ⋮ Fuzzy Lasso regression model with exact explanatory variables and fuzzy responses ⋮ Fuzzy spline univariate regression with exact predictors and fuzzy responses ⋮ An integrated shrinkage strategy for improving efficiency in fuzzy regression modeling
Cites Work
- Unnamed Item
- Unnamed Item
- Fuzzy statistical analysis of multiple regression with crisp and fuzzy covariates and applications in analyzing economic data of China
- Analysis of dynamical systems whose inputs are fuzzy stochastic processes
- A generalization of Hukuhara difference and division for interval and fuzzy arithmetic
- On the use of Zadeh's probabilistic definition for testing statistical hypotheses from fuzzy information
- Statistics with vague data
- Fuzzy random variables - I. Definitions and theorems
- Fuzzy random variables - II. Algorithms and examples for the discrete case
- The concept of a linguistic variable and its application to approximate reasoning. I
- The concept of a linguistic variable and its application to approximate reasoning. II
- The concept of a linguistic variable and its application to approximate reasoning. III
- On the variance of fuzzy random variables
- Fuzzy least absolute deviations regression and the conflicting trends in fuzzy parameters
- Testing statistical hypotheses with vague data
- Jackknife, bootstrap and other resampling methods in regression analysis
- Asymptotic and bootstrap techniques for testing the expected value of a fuzzy random variable
- Statistical tests optimally meeting certain fuzzy requirements on the power function and on the sample size
- Statistical hypotheses testing for fuzzy data
- Bootstrap Confidence Intervals for the Parameters of a Linear Regression Model with Fuzzy Random Variables
- Analysis of variance for fuzzy data
- Linear Regression Analysis with Fuzzy Model
- Fuzzy random variables
- The variance and covariance of fuzzy random variables and their applications
This page was built for publication: The statistical inferences of fuzzy regression based on bootstrap techniques