A New Method to Evaluate the Similarity of Chromatographic Fingerprints: Weighted Pearson Product-Moment Correlation Coefficient

A new method to evaluate the similarity of chromatographic fingerprints: weighted pearson product-moment correlation coefficient.

The Pearson product-moment correlation coefficient is being used to evaluate the similarity of the high-performance liquid chromatographic fingerprints of traditional Chinese medicine (TCM) in China. It is confirmed that a large range of peak areas produced the wrong results. A new algorithm concerning weighted Pearson product-moment correlation coefficient is proposed in this article. The resu...

Pearson Product-Moment Correlation

A New Weighted Correlation Coefficient Method to Evaluate Reconstructed Brain Electrical Sources

Various inverse algorithms have been proposed to estimate brain electrical activities with magnetoencephalography MEG and electroencephalography EEG . To validate and compare the performances of inverse algorithms, many researchers have used artificially constructed EEG and MEG datasets. When the artificial sources are reconstructed on the cortical surface, accuracy of the source estimates has ...

A new consensus measure based on Pearson correlation coefficient

Obtaining consensual solutions is an important issue in decision making processes. It depends on several factors such as experts’ opinions, principles, knowledge, experience, etc. In the literature we can find a considerable amount of consensus measurement from different research areas (from a Social Choice perspective: Alcalde-Unzu and Vorsatz [1], Alcantud, de Andrés Calle and Cascón [2] and ...

The Rank Correlation Coefficient as an Indicator of the Product-Moment Correlation Coefficient for Small Samples

On the basis of 2200 small (10-100) samples obtained from four random number populations, it is shown that the rank correlation coefficient, p, is 88 adequate a measure of concordance 88 the Pearson product-moment correlation, T. The samples were obtained by using pseudo-random linear and normal number generators for bivariate populations with expected correlation cC'efficientB, r~, of 0.0 and ...