Calculating the Temperature Trend Bias Induced by Inhomogeneities Into Climate Data Without Running a Homogenization Algorithm
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DOI: 10.1002/joc.8867
Abstract: Inhomogeneities are known to induce sudden jumps into the time series of climate stations. If these jumps tend to be upwards, a spurious positive trend will be inserted into the data, which would falsify the… read more here.
Keywords: temperature; trend; trend bias; climate ... See more keywords
Hyperboloidal initial data without logarithmic singularities
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DOI: 10.1007/s10714-025-03424-y
Abstract: Andersson and ChruĊciel showed that generic asymptotically hyperboloidal initial data sets admit polyhomogeneous expansions, and that only a non-generic subclass of solutions of the conformal constraint equations is free of logarithmic singularities. The purpose of… read more here.
Keywords: logarithmic singularities; asymptotically hyperboloidal; hyperboloidal initial; data without ... See more keywords
Likelihood inference for correlated binary data without any information about the joint distributions
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2015.1033553
Abstract: ABSTRACT We propose a universal robust likelihood that is able to accommodate correlated binary data without any information about the underlying joint distributions. This likelihood function is asymptotically valid for the regression parameter for any… read more here.
Keywords: data without; correlated binary; joint distributions; without information ... See more keywords