Articles | Volume 11, issue 2
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.
the Creative Commons Attribution 4.0 License.
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.
the Creative Commons Attribution 4.0 License.
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
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- Decreasing concentrations of carbonaceous aerosols in China from 2003 to 2013 Y. Cheng et al. 10.1038/s41598-021-84429-w
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- Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. 10.5194/acp-20-15079-2020
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- PM2.5 on the London Underground J. Smith et al. 10.1016/j.envint.2019.105188
- Estimation and Uncertainty Analysis of Secondary Organic Carbon Using 1 Year of Hourly Organic and Elemental Carbon Data C. Wu et al. 10.1029/2018JD029290
- Analysis of the temporal variability of CO2, CH4 and CO concentrations at Lamto, West Africa T. Tiemoko et al. 10.1080/16000889.2020.1863707
- Field comparison of electrochemical gas sensor data correction algorithms for ambient air measurements Y. Liang et al. 10.1016/j.snb.2020.128897
- Comparison of TROPOMI/Sentinel-5 Precursor NO<sub>2</sub> observations with ground-based measurements in Helsinki I. Ialongo et al. 10.5194/amt-13-205-2020
- Influence of interannual variability in estimating the rate and acceleration of present-day global mean sea level L. Moreira et al. 10.1016/j.gloplacha.2021.103450
- Tracking separate contributions of diesel and gasoline vehicles to roadside PM<sub>2.5</sub> through online monitoring of volatile organic compounds and PM<sub>2.5</sub> organic and elemental carbon: a 6-year study in Hong Kong Y. Wong et al. 10.5194/acp-20-9871-2020
- Vehicle Ammonia Emissions Measured in An Urban Environment in Sydney, Australia, Using Open Path Fourier Transform Infra-Red Spectroscopy F. Phillips et al. 10.3390/atmos10040208
- Tropospheric HONO distribution and chemistry in the southeastern US C. Ye et al. 10.5194/acp-18-9107-2018
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- Inter-comparison of black carbon measurement methods for simulated open biomass burning emissions H. Li et al. 10.1016/j.atmosenv.2019.03.010
- Variability in Observation-Based Onroad Emission Constraints from a Near-Road Environment H. Simon et al. 10.3390/atmos11111243
- Improved wavelength meter calibration in near infrared region via Doppler-free spectroscopy of molecular iodine R. Powel et al. 10.1007/s00340-021-07650-5
- Reconstructing winter climate anomalies in the Euro-Atlantic sector using circulation patterns E. Madonna et al. 10.5194/wcd-2-777-2021
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- Determination of total and lung-deposited particle surface area concentrations, in central Athens, Greece S. Cheristanidis et al. 10.1007/s10661-020-08569-8
- Rapid assessment of triacylglycerol fatty acyls composition by LC-APPI+-HRMS using monoacylglycerol like fragments intensities S. Abreu et al. 10.1016/j.aca.2021.338809
- Paleoclimate model-derived thermal lapse rates: Towards increasing precision in paleoaltimetry studies A. Farnsworth et al. 10.1016/j.epsl.2021.116903
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Latest update: 23 Oct 2021
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...
