The Annals of Mathematical Statistics, Vol. 27, No. 3 (Sep., 1956), pp. 737-748 (12 pages) The sampling variance of the least squares estimates of the components of variance in an unbalanced ...

Given the drawbacks of implementing multivariate analysis for mapping multiple traits in genome-wide association study (GWAS), principal component analysis (PCA) has been widely used to generate ...

PCA is an important tool for dimensionality reduction in data science and to compute grasp poses for robotic manipulation from point cloud data. PCA can also directly used within a larger machine ...

This article was originally published on Built In by Eric Kleppen. Variance is a powerful statistic used in data analysis and machine learning. It is one of the four main measures of variability along ...