In certain statistical process control applications, quality of a process or product can be characterized by a function between response variable and one or more independent variables. This function commonly referred to as profile. Response variable can be continuous or discrete. All of the research assumes that the response variable is continuous. Whereas, some of the potential applications of...

  This paper proposes a new intelligent approach for solving multi-response statistical optimization problems. In most real world optimization problems, we are encountered adjusting process variables to achieve optimal levels of output variables (response variables). Usual optimization methods often begin with estimating the relation function between the response variable and the control variab...

 Background: In epidemiological and medical studies, sometimes researchers are faced for prediction of two response variables (simultaneously) based on a number of independent variables. When the response variable is mixed, according to established limits and absence of assumption, the classical statistical methods are not enough efficient for classification and prediction goals. The p...

Nowadays factor analysis has been extended greatly, and one of its applications is to analysis the attributes which are not measurable directly. While the response variable has a Bernoulli distribution, using factor analysis method for continuous quantities leads to invalid and misleading results. Factor analysis for Bernoulli response variable base on Logit model is developed in this paper ...