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The first research thrust focuses on studying the statistical properties of the subsampling estimation using the statistical leverage scores in linear regression.
"A New Perspective on Boosting in Linear Regression via Subgradient Optimization and Relatives". Freund, Robert M., Paul Grigas, and Rahul Mazumder.
Evaluation of the amount of the sample was obtained by using peak areas in linear regression.
Quantification was done using deuterated internal standards and correlation of peak area ratios in linear regression.
The Cox & Snell and Nagelkerke statistics approximate the R-squared values obtained in linear regression.
Table 2 shows correlations among variables used in linear regression analyses.
In linear regression analyses adjusted for age, stronger external LOC was associated with poorer HRQoL in both depressed and non-depressed older adults.
Results: There was a significant positive linear association between TC, TG, LDL-C, HDL-C and MMSE score in linear regression models.
RESULTS There was a significant positive linear association between TC, TG, LDL-C, HDL-C and MMSE score in linear regression models.
Over the last 40 years, M-estimators in linear regression models have been investigated by many authors.
Meanwhile, we collect the readings from the motion sensor and calculate the parameters in linear regression for 3 km.
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