The distribution of the largest latent root of the covariance matrix calculated from a sample from the normal normalitive multivariate population with population covariance matrix σ2 I are presented ...
Analysis of covariance combines some of the features of both regression and analysis of variance. Typically, a continuous variable (the covariate) is introduced into the model of an ...
This is a preview. Log in through your library . Abstract The assumption of separability of the covariance operator for a random image or hypersurface can be of substantial use in applications, ...
This example considers a data set given in Lawless (1982). The data are the number of days it took rats painted with a carcinogen to develop carcinoma. The last two observations are censored. Maximum ...
This course is available on the BSc in Business Mathematics and Statistics and BSc in Mathematics, Statistics and Business. This course is not available as an outside option. This course is available ...