👉 Non-concentration refers to a situation where one or more of the parameters in a statistical model are not being accurately estimated, leading to inaccurate predictions. This can occur due to various reasons such as errors in data collection, sampling techniques, or model assumptions. Non-concentrated models may also be influenced by other factors, such as outliers or extreme values that do not fit within the distribution of the population from which the sample was drawn. In this scenario, it is important to carefully analyze and interpret the
