What is multinomous?

Answer 1

"Multinomous" typically refers to situations involving multiple categories or outcomes, often used in the context of multinomial distributions in statistics. A multinomial distribution generalizes the binomial distribution for experiments with more than two possible outcomes. It describes the probabilities of obtaining a specific combination of outcomes when each trial can result in one of several categories. This concept is commonly applied in fields like machine learning, natural language processing, and categorical data analysis.