Sarjaanalyysi
Sarjaanalyysi, known in English as time series analysis, is a statistical method used to analyze time-ordered sequences of data points. These data points are typically collected at successive equally spaced points in time. The primary goal of sarjaanalyysi is to understand the underlying structure of the data, identify patterns, and forecast future values.
Key components of sarjaanalyysi include identifying trends, which represent the long-term direction of the data; seasonality,
Common techniques employed in sarjaanalyysi include decomposition methods, which break down a time series into its
Sarjaanalyysi has broad applications across various fields. In economics, it is used for forecasting inflation, GDP,