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Published in 2021 at "Economics Letters"
DOI: 10.1016/j.econlet.2021.109864
Abstract: Abstract We present a feasible generalized Mallows criterion for model selection for a linear regression setup with conditional heteroskedasticity and possibly numerous explanatory variables. The feasible version exploits unbiased individual variance estimates from recent literature.…
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Keywords:
many regressors;
heteroskedastic linear;
criterion heteroskedastic;
regressions many ... See more keywords
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Published in 2020 at "Renewable Energy"
DOI: 10.1016/j.renene.2019.06.067
Abstract: Abstract Biodiesel is a very promising alternative fuel that has its place in the future energy mix. The dependence of fuel properties on fatty acids profile will influence the choice of feedstock or appropriate treatment…
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Keywords:
experimental study;
multiple linear;
feedstock;
linear regressions ... See more keywords
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Published in 2019 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2019.1586902
Abstract: We consider the issue of performing testing inferences on the parameters that index the linear regression model under heteroskedasticity of unknown form. Quasi-t test statistics use asymptotically correct standard errors obtained from heteroskedasticity-consistent covariance matrix…
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Keywords:
linear regressions;
regressions comparison;
heteroskedastic linear;
inference heteroskedastic ... See more keywords
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Published in 2022 at "European journal of sport science"
DOI: 10.1080/17461391.2022.2113441
Abstract: This study aimed to assess if, during incremental exercise, considering individual characteristics can make the relationship between the percentages of heart rate (HRR) and oxygen uptake (VO2R) reserve either 1:1 or more accurate. Cycle ergometer…
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Keywords:
linear regressions;
individual characteristics;
relationship;
aerobic training ... See more keywords
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Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2654165
Abstract: Head-pose estimation has many applications, such as social event analysis, human-robot and human-computer interaction, driving assistance, and so forth. Head-pose estimation is challenging, because it must cope with changing illumination conditions, variabilities in face orientation…
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Keywords:
mixture linear;
head pose;
pose estimation;
linear regressions ... See more keywords