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Article
Data sources: zbMATH Open
Biometrics
Article . 1993 . Peer-reviewed
Data sources: Crossref
Biometrics
Article . 1993
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t-REML for Robust Heteroscedastic Regression Analysis of Mitochondrial Power

\(t\)-REML for robust heteroscedastic regression analysis of mitochondrial power
Authors: James, Alan T.; Wiskich, Joseph T.; Conyers, Robert A. J.;

t-REML for Robust Heteroscedastic Regression Analysis of Mitochondrial Power

Abstract

The paper reports a long series of observations on two statistically independent variates which have different nonlinear regressions on the same parameter vector. In our analysis of the data, heteroscedasticity is handled by residual maximum likelihood, REML, but to cope with outliers as well, REML based on a t-specification, called t-REML, is introduced. The data are the results of factorial experiments designed to model the quantitative performance of mitochondria generating aerobic power. The response variates are flux, measured as respiration, and ATP potential as log(ATP/ADP). The background of metabolism and oxidative phosphorylation is briefly sketched.

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Keywords

Biochemistry, molecular biology, mitochondria generating aerobic power, Atractyloside, Models, Biological, Oxidative Phosphorylation, Applications of statistics to biology and medical sciences; meta analysis, Adenosine Triphosphate, Oxygen Consumption, Hexokinase, \(t\)-specification, chemiosmotic theory, \(t\)-REML, Michaelis-Menten, Probability, Models, Statistical, ATP potential, outliers, factorial experiments, carboxyatractyloside, logistic, mitochondrial oxidative phosphorylation, Aerobiosis, heteroscedasticity, Mitochondria, robust regression, flux, Adenosine Diphosphate, thermokinetics, Regression Analysis, residual maximum likelihood, nonlinear regressions, metabolism, respiration, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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