About this document
Correlation Methods for Time Series Data by Deepa Ravindran is a document available to read on EtoBox.
The document outlines various correlation methods suitable for time series data, including Pearson, Cross-Correlation Function (CCF), Autocorrelation (ACF), Partial Autocorrelation (PACF), and rank-based methods like Spearman and Kendall. Each method is described with its application context, advantages, and limitations, emphasizing the importance of data stationarity before applying these techniques. It also provides examples and explanations of how to calculate Spearman correlation, particularly in univar
- Author
- Deepa Ravindran
- Language
- EN