We study sample covariance matrices of the form $W=(1/n)CC^{\intercal}$, where C is a k × n matrix with independent and identically distributed (i.i.d.) mean 0 ...

The Annals of Statistics, Vol. 30, No. 4 (Aug., 2002), pp. 1081-1102 (22 pages) This paper analyzes whether standard covariance matrix tests work when dimensionality is large, and in particular larger ...

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 ...