telleverdier

Telleverdier, or count values, refer to values that arise from counting occurrences of an event. They are discrete values and typically take non-negative integer forms such as 0, 1, 2, 3, and so on. Telleverdier describe how many times something happens within a defined interval, category, or set, rather than measuring a continuous quantity.

In practice, telleverdier are common in statistics, epidemiology, quality control and social science. Examples include the number of emails received in a day, the number of defects in a batch of products, the number of patients admitted to a hospital, or the number of votes for a candidate. Because they are counts, they cannot assume every real value, and their distribution is often skewed toward smaller values.

Statistical modeling of count data frequently uses distributions such as Poisson, binomial, or negative binomial distributions. Poisson regression and related count-regression techniques are common when the outcome is a count. These models handle the discrete, non-negative nature of telleverdier and often address features like overdispersion or excess zeros that can occur in count data.

Data summaries for telleverdier typically focus on measures such as the mean and variance, as well as the median and mode. When counts exhibit unusual patterns—such as many zeros or greater variability than the mean—specialized models or zero-inflated approaches may be employed. Telleverdier thus represent a fundamental data type for quantifying occurrence frequencies in a wide range of applications.