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Published in 2019 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.3424
Abstract: The Ensemble Kalman Filter (EnKF) and 4D‐Var Data Assimilation (DA) approaches require that a fixed observation error variance be specified for each observation. To highlight the need to consider the state dependence of observation error…
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Keywords:
state;
observation;
error;
observation error ... See more keywords
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Published in 2017 at "Journal of Environmental Planning and Management"
DOI: 10.1080/09640568.2016.1268525
Abstract: Preference elicitation among outdoor recreational users is subject to measurement errors that depend, in part, on survey planning. This study uses data from a choice experiment survey on recreational SCUBA diving to investigate whether self-reported…
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Keywords:
respondents comfort;
variance stated;
scuba diving;
error variance ... See more keywords
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Published in 2017 at "Journal of Nonparametric Statistics"
DOI: 10.1080/10485252.2017.1285028
Abstract: ABSTRACT Variance estimation is a fundamental yet important problem in statistical modelling. In this paper, we propose jackknife empirical likelihood (JEL) methods for the error variance in a linear regression model. We prove that the…
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Keywords:
variance linear;
jackknife empirical;
empirical likelihood;
error variance ... See more keywords
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Published in 2023 at "Agriculture"
DOI: 10.3390/agriculture13040826
Abstract: Estimation of error variance in the case of genomic selection is a necessary step to measure the accuracy of the genomic selection model. For genomic selection, whole-genome high-density marker data is used where the number…
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Keywords:
estimation;
error variance;
genomic selection;
selection ... See more keywords