prognoosimis
Prognoosimis refers to the systematic process of making forecasts about future conditions or events, based on data, models, and judgment. The term combines the Estonian root prognoos (forecast) with the gerundial suffix -imis, signaling the activity or practice of forecasting. In practice, prognoosimis encompasses both formal modeling and structured expert judgment across diverse fields.
The concept spans multiple domains, including meteorology, economics, epidemiology, environmental science, and urban planning. Forecasts can
Key methods include time-series analysis, regression, machine learning, simulation, and expert elicitation. Data sources range from
Evaluation uses metrics such as MAE, RMSE, Brier score, and calibration plots; validation against out-of-sample data
Historically, forecasting dates back to early astronomy and weather observation, evolving into formal probabilistic methods in