Correlation and Association
Carsten Dormann ()
Additional contact information
Carsten Dormann: University of Freiburg, Biometry and Environmental System Analysis
Chapter Chapter 5 in Environmental Data Analysis, 2020, pp 65-70 from Springer
Abstract:
Abstract At the end of this chapter $$\ldots $$ … $$\ldots $$ … the idea of a correlation will be familiar to you. $$\ldots $$ … you will be able to use the Pearson’s r as a measurement for interpreting the strength of a correlation. $$\ldots $$ … you will know when you need to use Spearman’s $$\rho $$ ρ or Kendall’s $$\tau $$ τ instead. $$\ldots $$ … you will have comprehended the principle of association with the help of the $$\chi ^2$$ χ 2 -test.
Date: 2020
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-55020-2_5
Ordering information: This item can be ordered from
http://www.springer.com/9783030550202
DOI: 10.1007/978-3-030-55020-2_5
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().