About this document
Understanding Time Series Components by Anika Kumar is a document available to read on EtoBox.
This document discusses time series analysis and its key components. It begins by defining a time series as repeated observations of well-defined data over time. An observed time series can be decomposed into four main components: secular trend, seasonal variation, cyclic variation, and irregular variation. It then discusses how time series are used for prediction and pattern recognition. The main components of time series - secular trend, seasonal variation, cyclic variation, and irregular variation - are
- Author
- Anika Kumar
- Language
- EN