each variable, which is typical in multiple regression analysis (MRA), we overcome prior limitations and propose a new way …

conditions of the process. Hundreds of optimised cases with varied design parameters are used as observations in four multiple … regression analyses. We analyse the model assumptions, prediction abilities and extrapolations, and compare the results with …

are represented in terms of a functional multiple regression model whose regression operators can change in space. Local …

). Monte Carlo Simulation and Multiple Regression Analysis are used to compare the results of the BPN. Empirical results show … the performance indicator modeled on BPN is the best, followed by those modeled on Multiple Regression Analysis and Monte … Multiple Regression Analysis are likely to be better forecasting methods. Finally, the three key factors affecting medical …

and analytical techniques. Design/methodology/approach – This paper uses a case study approach showing how multiple … regression methodology has been put into practice. The case study was executed in a leading Indian viscose fiber plant. Findings …

/methodology/approach – Subjective POF measures and a creativity measure were adapted for this research, and multiple regression was used to calculate …