Advances in Multivariate Statistical Analysis | Pillai Memorial Volume | ISBN 9789401706537

Advances in Multivariate Statistical Analysis

Pillai Memorial Volume

herausgegeben von Arjun K. Gupta
Buchcover Advances in Multivariate Statistical Analysis  | EAN 9789401706537 | ISBN 94-017-0653-0 | ISBN 978-94-017-0653-7

Advances in Multivariate Statistical Analysis

Pillai Memorial Volume

herausgegeben von Arjun K. Gupta

Inhaltsverzeichnis

  • Minimaxity of Empirical Bayes Estimators Derived from Subjective Hyperpriors.
  • Quasi-Inner Products and Their Applications.
  • A Hierarchy of Relationships Between Covariance Matrices.
  • Effect of Additional Variables in Principal Component Analysis, Discriminant Analysis and Canonical Correlation Analysis.
  • On a Locally Best Invariant and Locally Minimax Test in Symmetrical Multivariate Distributions.
  • Confidence Intervals for the Slope in a Linear Errors-in-Variables Regression Model.
  • Likelihood Ratio Test for Multisample Sphericity.
  • Statistical Selection Procedures in Multivariate Models.
  • Quadratic Forms to have a Specified Distribution.
  • Asymptotic Expansions for Errors of Misclassification: Nonnormal Situations.
  • Transformations of Statistics in Multivariate Analysis.
  • Error Rate Estimation in Discriminant Analysis: Recent Advances.
  • Some Simple Optimal Tests in Multivariate Analysis.
  • Developments in Eigenvalue Estimation.
  • Asymptotic Non-null Distributions of a Statistic for Testing the Equality of Hermitian Covariance Matrices in the Complex Gaussian Case.
  • A Model for Interlaboratory Differences.
  • Bayes Estimators in Lognormal Regression Model.
  • Multivariate Behrens-Fisher Problem by Heteroscedastic Method.
  • Tests for Covariance Structure in Familial Data and Principal Component.
  • Risk of Improved Estimators for Generalized Variance and Precision.
  • Sampling Distributions of Dependent Quadratic Forms from Normal and Nonnormal Universes.
  • Bibliography of Works by K. C. S. Pillai.