Tijdreeksencontinu

Tijdreeksencontinu refers to a type of time series data where observations are recorded at continuous, unquantified intervals. Unlike discrete time series where measurements are taken at regular, defined points in time (e.g., daily sales, hourly temperature), continuous time series capture events or values as they occur without a predetermined frequency. This means the time difference between consecutive observations can vary significantly.

Examples of continuous time series include sensor data from an IoT device that logs a reading every time a threshold is crossed, financial transaction logs that record each trade as it happens, or event streams from user activity on a website. Analyzing continuous time series presents unique challenges compared to discrete ones. Standard statistical methods often assume regular sampling intervals, which may not be applicable. Techniques such as interpolation, time-weighted averaging, or specialized modeling approaches are often employed to handle the irregular spacing of data points.

The definition of "continuous" in this context emphasizes the unbroken flow of events or measurements over time, rather than the continuous nature of the measured variable itself, which could be discrete or continuous. Understanding the nature of continuous time series is crucial for accurate modeling, forecasting, and anomaly detection in various fields, including finance, engineering, and environmental science.