Zähltradatenanalyse
Zähltradatenanalyse, often translated as count data analysis, is a statistical field focused on modeling and understanding data that represents the number of occurrences of an event within a specified interval or unit. This type of data is inherently non-negative and discrete, meaning it can only take on integer values starting from zero. Examples of count data include the number of customers visiting a store per hour, the number of defects on a manufactured item, or the number of calls received by a call center in a day.
Traditional statistical methods like linear regression are often inappropriate for count data because they assume normally
However, count data frequently exhibits overdispersion, meaning the variance is greater than the mean. This violates