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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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Atmos. Meas. Tech., 11, 1233-1250, 2018
https://doi.org/10.5194/amt-11-1233-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
02 Mar 2018
Evaluation of linear regression techniques for atmospheric applications: the importance of appropriate weighting
Cheng Wu and Jian Zhen Yu
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Review of paper', Anonymous Referee #1, 29 Sep 2017 Printer-friendly Version 
AC1: 'Response to reviewer #1', Cheng Wu, 20 Dec 2017 Printer-friendly Version Supplement 
 
RC2: 'Review of "Evaluation of linear regression techniques..." by Wu and Yu', Anonymous Referee #2, 26 Oct 2017 Printer-friendly Version Supplement 
AC2: 'Response to reviewer #2', Cheng Wu, 20 Dec 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Cheng Wu on behalf of the Authors (20 Dec 2017)  Author's response  Manuscript
ED: Publish subject to minor revisions (review by editor) (05 Jan 2018) by Willy Maenhaut  
AR by Cheng Wu on behalf of the Authors (11 Jan 2018)  Author's response
ED: Publish subject to minor revisions (review by editor) (19 Jan 2018) by Willy Maenhaut  
AR by Cheng Wu on behalf of the Authors (21 Jan 2018)  Author's response  Manuscript
ED: Publish subject to minor revisions (review by editor) (05 Feb 2018) by Willy Maenhaut  
AR by Cheng Wu on behalf of the Authors (06 Feb 2018)  Author's response  Manuscript
ED: Publish as is (06 Feb 2018) by Willy Maenhaut
CC BY 4.0
Publications Copernicus
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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.
A new data generation scheme that employs the Mersenne twister (MT) pseudorandom number...
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