Articles | Volume 11, issue 7
https://doi.org/10.5194/amt-11-4309-2018
https://doi.org/10.5194/amt-11-4309-2018
Research article
 | 
20 Jul 2018
Research article |  | 20 Jul 2018

Evaluating two methods of estimating error variances using simulated data sets with known errors

Therese Rieckh and Richard Anthes

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Latest update: 26 Feb 2024
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Short summary
We compare the two-cornered hat (2CH) and three-cornered hat (3CH) method for estimating the error variances of two or more independent data sets using simulated data with various error correlations and biases. We assess the accuracy of the 3CH and 2CH estimates and examine the sensitivity of the estimated error variances to the degree of error correlation between the data sets as well as sample size. The 3CH method is less sensitive to these factors and hence more accurate.