INTERVAL PIECEWISE REGRESSION MODEL WITH AUTOMATIC CHANGE-POINT DETECTION BY QUADRATIC PROGRAMMING

DOI10.1142/S0218488505003503zbMath1071.62065OpenAlexW2125286647MaRDI QIDQ5692934

Gwo-Hshiung Tzeng, Han-Lin Li, Jing-Rung Yu

Publication date: 28 September 2005

Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218488505003503

zbMATH Keywords

possibilityfuzzy regressionchange-pointnecessitypiecewise regression

Mathematics Subject Classification ID

Linear inference, regression (62J99) Applications of mathematical programming (90C90) Quadratic programming (90C20)

Related Items (1)

FUZZY MULTIPLE OBJECTIVE PROGRAMMING IN AN INTERVAL PIECEWISE REGRESSION MODEL

Uses Software

• LINGO

Cites Work

• Unnamed Item
• A numerically stable dual method for solving strictly convex quadratic programs
• Possibilistic linear regression analysis for fuzzy data
• Possibilistic linear systems and their application to the linear regression model
• Fuzzy versus statistical linear regression
• A general piecewise necessity regression analysis based on linear programming
• On assessing the \(H\) value in fuzzy linear regression
• A mixed-coding scheme of evolutionary algorithms to solve mixed-integer nonlinear programming problems
• An ``orderwise polynomial regression procedure for fuzzy data
• Properties of certain fuzzy linear regression methods
• Equivalence of some quadratic programming algorithms
• Numerically stable methods for quadratic programming
• General fuzzy piecewise regression analysis with automatic change-point detection.

This page was built for publication: INTERVAL PIECEWISE REGRESSION MODEL WITH AUTOMATIC CHANGE-POINT DETECTION BY QUADRATIC PROGRAMMING