Articles | Volume 11, issue 2
https://doi.org/10.5194/amt-11-1233-2018
https://doi.org/10.5194/amt-11-1233-2018
Research article
 | 
02 Mar 2018
Research article |  | 02 Mar 2018

Evaluation of linear regression techniques for atmospheric applications: the importance of appropriate weighting

Cheng Wu and Jian Zhen Yu

Viewed

Total article views: 5,283 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,029 2,152 102 5,283 832 96 141
  • HTML: 3,029
  • PDF: 2,152
  • XML: 102
  • Total: 5,283
  • Supplement: 832
  • BibTeX: 96
  • EndNote: 141
Views and downloads (calculated since 27 Sep 2017)
Cumulative views and downloads (calculated since 27 Sep 2017)

Viewed (geographical distribution)

Total article views: 5,283 (including HTML, PDF, and XML) Thereof 4,955 with geography defined and 328 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 May 2024
Download
Short summary
A new data generation scheme that employs the Mersenne twister (MT) pseudorandom number generator is proposed to conduct benchmark tests on a variety of linear regression techniques. With an appropriate weighting, Deming regression (DR), weighted ODR (WODR), and York regression (YR) are recommended for atmospheric studies when both x and y data have measurement errors. An Igor-based program (Scatter Plot) is developed to facilitate the regression implementation.