MLchartDataset catalogue

Stationary process

Term · Meteorology and atmospheric science · MLC-T-MET-009227

A time series or stochastic process whose underlying statistical distribution does not change over time. This means that key properties such as the mean, variance, and autocorrelation structure are constant regardless of when they are observed. The assumption of stationarity is a common requirement for applying many time series forecasting models in climatology and other fields.

Table 1. Record
IdentifierMLC-T-MET-009227
FieldMeteorology and atmospheric science
Record as JSON
{
  "id": "MLC-T-MET-009227",
  "term": "Stationary process",
  "field": "Meteorology and atmospheric science",
  "definition": "A time series or stochastic process whose underlying statistical distribution does not change over time. This means that key properties such as the mean, variance, and autocorrelation structure are constant regardless of when they are observed. The assumption of stationarity is a common requirement for applying many time series forecasting models in climatology and other fields.",
  "url": "https://mlchart.com/terminology/meteorology/stationary-process/"
}

Record 9,103 of 10,816 in Meteorology and atmospheric science terminology (MLC-0110). Request the full dataset.