Multidimensional statistical analysis and theory of random matrices : proceedings of the Sixth Eugene Lukacs Symposium, Bowling Green, OH, USA, 29-30 March 1996
A. K. Gupta, Vi︠a︡cheslav Leonidovich Girko · 1996
Some remarks and a bibliography on the Kantorovich inequality, G. Alpargu and G.P. H. Styan band random matrices and quantum chaos, G. Casati weighted continuous metric scaling, C.M. Cuadras and J. Fortiana canonical equation for the resolvent of empirical co-variance matrices pencil, V.L. Girko and A.K. Gupta strong law for the eigenvalues of empirical co-variance matrices, V.L. Girko on the asymptotic behaviour of Markov chans with small random perturbations of transition probabilities, F. Hoppensteadt et al multivariate statistical inference involving circulant matrices - a review, R. Khattree asymptotics of eigenvalue-normed eigenvectors of sample variance and correlation matrices, T. Kollo and H. Heudecker formal density expansions via multivariate mixtures, T. Kollo and D. von Rosen double shrinkage estimators of ratio of variances, T. Kubokkawa and M.S. Srivastava on sequential search for significant variables of unknown function, M. Malyutov and I. Tsitovich hierarchical random matrices and operators - application to Anderson model, S. Molchanov asymptotic properties of invariant tests, A. Nagaev new classes of probability inequalities for some classical distributions, D.S.P. Richards equivariant estimation of a subspace, A. Ruchin optimal design of experiments for multivariate responses in two-factor linear models, R. Schwabe multivariate analysis - does it really work in statistical applications?, P.K. Sen robust estimation and testing the mean vector, M.L. Tiku detection of outliers in the presence of multicollinearity, C.G. Troskie and D.O. Chalton estimation in multivariate elliptically contoured linear models II, T. Want mean and co-variance structure analysis with missing data, K.H. Yuan and P.M. Bentler multivariate elliptically contoured linear models and some aspects of the theory of random matrices, V.L. Girko and A.K. Gupta.