Aikasarjamenetelmät
Aikasarjamenetelmät refers to a collection of statistical and computational techniques used to analyze time series data. Time series data is a sequence of data points indexed in time order, such as daily stock prices, monthly rainfall, or hourly website traffic. These methods aim to understand the underlying patterns, dependencies, and characteristics of such data over time.
Key objectives of aikasarjamenetelmät include forecasting future values, identifying trends and seasonality, detecting anomalies, and understanding
More sophisticated methods involve autoregressive integrated moving average (ARIMA) models and their variations, such as SARIMA