| Issue |
EAS Publications Series
Volume 66, 2014
Statistics for Astrophysics Methods and Applications of the Regression
|
|
|---|---|---|
| Page(s) | 73 - 75 | |
| DOI | https://doi.org/10.1051/eas/1466006 | |
| Published online | 23 January 2015 | |
Regression Methods for Astrophysics
D. Fraix-Burnet and D. Valls-Gabaud (eds)
EAS Publications Series, 66 (2014) 73–75
D. Fraix-Burnet and D. Valls-Gabaud (eds)
EAS Publications Series, 66 (2014) 73–75
Practical Session: Multiple Linear Regression
Laboratory LJK, Grenoble University, BP. 53, 38041 Grenoble Cedex 09, France
Three exercises are proposed to illustrate the simple linear regression. In the first one investigates the influence of several factors on atmospheric pollution. It has been proposed by D. Chessel and A.B. Dufour in Lyon 1 (see Sect. 6 of http://pbil.univ-lyon1.fr/R/ pdf/tdr33.pdf) and is based on data coming from 20 cities of U.S. Exercise 2 is an introduction to model selection whereas Exercise 3 provides a first example of analysis of variance. Exercises 2 and 3 have been proposed by A. Dalalyan at ENPC (see Exercises 2 and 3 of http://certis.enpc.fr/ dalalyan/Download/TP_ENPC_5.pdf).
© EAS, EDP Sciences, 2015