TiTime series is a sequence of observations of a variable taken at consecutive and regular intervals over time (daily, weekly, monthly, yearly, etc.). In such data, the assumption of independence between observations is generally not valid because observations may be correlated over time. Time series analysis is a set of statistical methods designed to reveal this dependence, model structures that change over time, and make forecasts about the future.Time series are analyzed not only from a statis
EN
Melike Saraç
WeWeather forecast models play a critical role in meteorological science for predicting short-term and long-term weather events. Today, these forecasts are obtained through advanced weather prediction models. These models consist of systems that express physical processes in the atmosphere through mathematical equations and are solved with the help of supercomputers. Processing millions of data points to predict the future state of the atmosphere, these systems are important not only for daily wea
ENAbdülkadir Taştan