Volume 67.
(as bibtex)
21 references.
Articles

16. The best Euclidian fit to a given distance matrix in prescribed dimensions
Mathar, Rudolf

103110. On a multivariate normal probability minimization problem
Kabe, D. G.

111135. $G$majorization with applications to matrix orderings
Giovagnoli, A.,
Wynn, H. P.

137145. A matrix derivation of the asymptotic covariance matrix of sample correlation coefficients
Nel, D. G.

147156. Matrices and the structure of random number sequences
Marsaglia, George,
Tsay, LiangHuei

157167. Errorfree computation of a reflexive generalized inverse
KellerMcNulty, S.,
Kennedy, W. J.

169193. Tensor products and matrix differential calculus
Pollock, D. S. G.

1934. On the duality between locally optimal tests and optimal experimental designs
MuellerFunk, U.,
Pukelsheim, F.,
Witting, H.

195199. Convexity of acceptance regions of multivariate tests
Bondar, James V.

201205. Estimating a Cholesky decomposition
Olkin, Ingram

207214. More on BLU estimation in regression models with possibly singular covariances
Werner, Hans Joachim

215231. Asymptotic distributions in the testing and estimation of the missingdata multivariate normal linear patterned mean and correlation matrix
Szatrowski, Ted H.

233258. On some patternreduction matrices which appear in statistics
Wiens, Douglas P.

259274. Linear unbiased approximators of the disturbances in the standard linear model
Farebrother, R. W.

275277. A note on the inversepartitionedmatrix method in linear regression analysis
Drygas, Hilmar

3549. On the equivalence of proportional cell frequencies and orthogonality of interaction spaces in $n$way ANOVA
Takemura, Akimichi

5166. A structure of doubly stochastic Markov chains
Frydman, Halina

6780. On an optimal solution for maximizing the probability of retention in PPS sampling
Wright, Tommy,
Tsao, How

718. Extremal problems on the set of nonnegative definite matrices
Shapiro, Alexander

8197. Properties of Euclidean and nonEuclidean distance matrices
Gower, J. C.

99101. On a conjecture of Hoerl and Kennard on a property of least squares estimators of regression coefficients
Rao, P. S. S. N. V. P.,
Precht, M.