Efficiency evaluation for detecting inhomogeneities by objective homogenisation methods
By P. Domonkos. 2011
59 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/83e2e0781c2e758853c998daf02d615e1d3bc898
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In Electrical and Electronic Engineering
In Global and Planetary Change
Citations in the corpus
- Comparison of two homogenized datasets of daily maximum/mean/minimum temperature in China during 1960–2013 (2016, methodology): “Domonkos (2011, 2013) indicated the Caussinus-Mestre method and MASH to be the most powerful tools among 15 objective homogenization methods.”
- Comparison of homogeneity tests for temperature using a simulation study (2016, methodology): “Domonkos (2011) compares the performances of multiple linear regression (MLR; Vincent, 1998) and the second version of SNHT (Alexandersson and Moberg, 1997) with detection methods applying the always step function model, namely with MASH and PRODIGE (Caussinus and Mestre, 2004).”