P90Wert

P90Wert is a statistical descriptor that denotes the 90th percentile value within a given data set. The term is commonly used in German‑language technical literature and engineering documentation where the German word “Wert” (value) has been appended to the percentile indicator. In practice, the P90Wert represents the point below which 90 % of all observations lie, leaving the remaining 10 % above that threshold. This metric is especially useful for evaluating processes where high‑tail behavior matters, such as reliability assessments, load forecasting, and risk analysis.

To calculate the P90Wert, the data are first sorted in ascending order. If the data set contains \(n\) values, the index corresponding to the 90th percentile is calculated as \(i = \lceil 0.90 \times n \rceil\). The value at this position in the sorted list is reported as the P90Wert. For non‑integer indices, interpolation between neighboring values may be employed to provide a more precise estimate. The calculation is analogous to the more widely recognised percentiles in English literature, such as the 90th percentile (P90), but the inclusion of “Wert” signals that the value is being presented for a specific analytical context.

P90Wert figures prominently in fields such as power system protection, where it may define the short‑circuit or voltage level that is surpassed in only the top 10 % of tests. In supply‑chain modeling, it can indicate the quantity or demand level that is exceeded in less than one‑tenth of forecasting cases, thereby guiding safety stock decisions. In environmental engineering, it may be used to express pollutant concentrations that are surpassed in 10 % of monitoring samples, serving as a conservative basis for regulatory limits. Because the P90Wert focuses on tail-end extremes, it often appears alongside complementary percentiles, such as the 10 th percentile, to give a fuller picture of variability within a data set.