eBook - PDF
Multidimensional Statistical Analysis and Theory of Random Matrices
Proceedings of the Sixth Eugene Lukacs Symposium, Bowling Green, Ohio, USA, 29–30 March 1996
- 398 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Multidimensional Statistical Analysis and Theory of Random Matrices
Proceedings of the Sixth Eugene Lukacs Symposium, Bowling Green, Ohio, USA, 29–30 March 1996
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Yes, you can access Multidimensional Statistical Analysis and Theory of Random Matrices by A. K. Gupta, V. L. Girko in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- PREFACE
- Welcoming remarks
- Principal Procedures for Statistical Analysis of Random Arrays (SARA)
- CONTENTS
- Some remarks and a bibliography on the Kantorovich inequality
- Band random matrices and quantum chaos
- Weighted continuous metric scaling
- Canonical equation for the resolvent of empirical covariance matrices pencil
- Strong Law for the eigenvalues of empirical covariance matrices
- On the asymptotic behavior of Markov chains with small random perturbations of transition probabilities
- Multivariate statistical inference involving circulant matrices: A review
- Asymptotics of eigenvalue-normed eigenvectors of sample variance and correlation matrices
- Formal density expansions via multivariate mixtures
- Double shrinkage estimators of ratio of variances
- On sequential search for significant variables of unknown function
- Heirarchical random matrices and operators. Application to Anderson model
- Asymptotic properties of invariant tests
- New classes of probability inequalities for some classical distributions
- Equivariant estimation of a subspace
- Optimal design of experiments for multivariate response in two-factor linear models
- Multivariate analysis: Does it really work in statistical applications?
- Robust estimation and testing the mean vector
- Detection of outliers in the presence of multicollinearity
- Estimation in multivariate elliptically contoured linear models II
- Mean and covariance structure analysis with missing data
- Multivariate elliptically contoured linear models and some aspects of the theory of random matrices