Regression in R—Part II
Carsten Dormann ()
Additional contact information
Carsten Dormann: University of Freiburg, Biometry and Environmental System Analysis
Chapter Chapter 10 in Environmental Data Analysis, 2020, pp 129-146 from Springer
Abstract:
Abstract At the end of this chapter $$\ldots $$ … $$\ldots $$ … you will be able to execute the most important steps of model diagnostics. $$\ldots $$ … you will no longer be impressed simply by a good-looking fit: the residuals and results of alternative model structures are also important. $$\ldots $$ … you will see that the graphic representation of the relationship is just as important as plotting the data itself. $$\ldots $$ … you will understand why a linear model is more popular than a generalised linear model (GLM): it makes model diagnostics easier.
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_10
Ordering information: This item can be ordered from
http://www.springer.com/9783030550202
DOI: 10.1007/978-3-030-55020-2_10
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 ().