Pearson distribution

{
  "id": "MLC-T-MET-007830",
  "term": "Pearson distribution",
  "field": "Meteorology and atmospheric science",
  "definition": "A family of continuous probability distributions developed by Karl Pearson, characterized by their shape as defined by the first four statistical moments: mean, variance, skewness, and kurtosis. These distributions are used in meteorology to model skewed or heavy-tailed data sets, such as daily rainfall amounts or wind speed frequencies. The specific type of Pearson distribution, from Type I to Type VII, is selected based on the values of the moments calculated from the observed data.",
  "url": "https://mlchart.com/terminology/meteorology/pearson-distribution/"
}