Wu's Logit Model

Wu’s Logit Model is a statistical technique used to predict the likelihood of a specific outcome based on several factors. It helps researchers understand how different variables, like age, income, or preferences, influence choices or events—such as whether someone will buy a product or choose a particular route. The model calculates probabilities that sum to one, making it useful for classification tasks. In essence, it translates complex data into clear, quantitative insights about how various factors impact the decision-making process.