Abstract
Scatterplots and correlation coefficients are defined for a bivariate sample, where two variables are measured times, each time at the same object or at comparable objects. When considering a whole set of variables, a matrix of pairwise correlations is established. Based on such a correlation matrix, the multivariate procedure of principal components can introduce a structure into the set of variables.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Pruscha, H. (2013). Correlation: From Yearly to Daily Data. In: Statistical Analysis of Climate Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32084-2_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-32084-2_3
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32083-5
Online ISBN: 978-3-642-32084-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)