Abstract
The objective of this article is to analyze different types of decision making and use statistical models to predict consumer behavior in different situations and areas of application. We have examined and classified several case studies on consumer decision making and we have classified them thematically, as well as the underlying quantitative techniques to assess their relevance. We wanted to formulate a model based on real-time data and then the comparison data used in the model, analyze and interpret scientifically.
Published Version
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