Articles | Volume 11, issue 2
Atmos. Meas. Tech., 11, 1233–1250, 2018
https://doi.org/10.5194/amt-11-1233-2018
Atmos. Meas. Tech., 11, 1233–1250, 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

Model code and software

Scatter Plot C. Wu https://doi.org/10.5281/zenodo.832417

Aethalometer data processor C. Wu https://doi.org/10.5281/zenodo.832403

Histbox C. Wu https://doi.org/10.5281/zenodo.832405

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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.