The celebrated single ring theorem asserts that the eigenvalues of a non-Hermitian random matrix with given singular values are asymptotically distributed on a single ring in the complex plane.
When large amounts of survival data arrive in streams,conventional estimation methods may become infeasible since they require storage of all the risk sets at each accumulation point.
Identifying proteomic biomarkers from bodily fluids for complex diseases such as cancer is an active area of research.Mass spectrometry is a useful tool for this purpose.
We propose a general method for constructing Latin hypercubes of flexible run sizes for computer experiments.The method makes use of arrays with a special structure and Latin hypercubes.