Statistical regression analysis is a powerful and reliable method to determine the impact of
one or several independent variable (s) on a dependent variable. It is the most widely used …

Fuzzy regression analysis is aimed at modeling the relationship between a set of fuzzy
responses and a set of non-fuzzy/fuzzy predictors. However, compared to parametric …

In this paper, a new method is proposed for estimating fuzzy regression models based on a
novel robust support vector machines with exact predictors and fuzzy responses. For this …

In data analysis, analyzing the relationships between the variables such as correlation
analysis and regression analysis are very important. Correlation analysis and regression …

Spline smoothing is a form of nonlinear regression when there is reason to believe that
relationship between the predictor and the response is curvilinear. In such cases, the spline …

Quantile regression estimates conditional quantiles and has found extensive applications in
real-life statistical procedures. This study assessed a new for nonlinear quantile regression …

A mediator variable is a variable that causes mediation in the dependent and the
independent variables. The mediator variables play important roles in data analysis which …

A novel functional regression model was introduced in this research in which, the predictor
is a curve linked to a scalar fuzzy response variable. An absolute error-based penalized …

In the causal relationship, a mediator variable is a variable that causes mediation in the
dependent and the independent variables. If x is a predictor and y is a response variable …

The present study proposes a flexible/soft model for investigating the role of philosophic-
mindedness, creativity, mathematics self-efficacy, and mathematics self-concept in …