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Van De Wiel, M.A., Lien, T.G., Verlaat, W., van Wieringen, W.N., and Wilting, S.M. (2016) Better Prediction by Use of Co-Data: Adaptive Group-Regularized Ridge Regression. Statistics in Medicine, 35, 368-381.
https://doi.org/10.1002/sim.6732

has been cited by the following article:

• TITLE: Correlation Analysis of Experimental Data Applied in the Study of the Extraction Process

  AUTHORS: Mariana Rusu, Aliona Ghendov-Mosanu, Rodica Sturza

  KEYWORDS: Correlation Analysis, Autocorrelation Function, Correlation Coefficient, Parameter

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.9 No.12, December 10, 2021

  ABSTRACT: The article examines the application of correlation analysis of experimental data in research into the process of extracting bioactive compounds and antioxidant activity in plant extracts from berries and grape pomace. The correlation analysis of the experimental data allowed the establishment of the second order statistical characteristics (autocorrelation function, intercorrelation function and correlation coefficient). Based on the correlation analysis of the experimental data, it was shown that the influencing factor and the measured parameters have zero correlation coefficients for all types of researched extracts. This indicates that they are not independent. Therefore, related mathematical models can be deduced.