In statistical analysis with large numbers of variables, the
invariance approach is becoming increasingly popular and useful
because of its ability and usefulness to derive better statistical
procedures. In this book, multivariate statistical inference is
presented through invariance.
Group invariance matrices, groups and Jacobians invariance equivariant estimation in curved models some best invarient tests in multinormals minimax tests in multinormals locally minimax tests in symmetrical distributions dype D and type E regions and invariance.