This paper proposes an a-level estimation algorithm for ridge fuzzy regression modeling, addressing the multicollinearity phenomenon in the fuzzy linear regress

Regression analysis is a relatively simple yet extremely useful and widely employed tool for determining relationship between some variables on the basis of som

This book presents the most commonly used techniques for the most statistical inferences based on fuzzy data. It brings together many of the main ideas used in

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wi

A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.