AbstractThe usual ordering of linear experiments was induced by estimation of some scalar parameters under quadratic risk. New orderings, based on estimation of vector parameters under quadratic and matrix risk, respectively, are defined and considered here
AbstractWe compare multivariate distributions from the point of view of the “strength” of linear rel...
summary:The paper deals with an optimal estimation of the quadratic function $\bold{\beta'D\beta}$, ...
AbstractThree results are given involving a normally distributed matrix X, namely (1) the expectatio...
AbstractThe usual ordering of linear experiments was induced by estimation of some scalar parameters...
AbstractGiven matrices A1, A2, B1, B2, and symmetric D a necessary and sufficient condition is estab...
The ordering of normal linear experiments with respect to quadratic estimation, introduced by Stępni...
AbstractLet (T1, x1), (T2, x2), …, (Tn, xn) be a sample from a multivariate normal distribution wher...
AbstractMatrix equations with various conditions suited for statistical purposes in linear experimen...
AbstractA useful statistical relation between normal linear experiments N(Aβ,σV) and N(Bβ,σW) is red...
This paper deals with the following approach for estimating the mean mu of an n-dimensional random v...
The ordered values of a sample of observations are called the order statistics of the sample and are...
Linear inference is the foundation stone for much of theoretical and applied statistics. In practice...
AbstractGiven matrices A, B and vectors a, b, a necessary and sufficient condition is established fo...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146925/1/rssb00712.pd
ABSTRACT. In the mixed linear model there exist different expressions for an estimator of a given li...
AbstractWe compare multivariate distributions from the point of view of the “strength” of linear rel...
summary:The paper deals with an optimal estimation of the quadratic function $\bold{\beta'D\beta}$, ...
AbstractThree results are given involving a normally distributed matrix X, namely (1) the expectatio...
AbstractThe usual ordering of linear experiments was induced by estimation of some scalar parameters...
AbstractGiven matrices A1, A2, B1, B2, and symmetric D a necessary and sufficient condition is estab...
The ordering of normal linear experiments with respect to quadratic estimation, introduced by Stępni...
AbstractLet (T1, x1), (T2, x2), …, (Tn, xn) be a sample from a multivariate normal distribution wher...
AbstractMatrix equations with various conditions suited for statistical purposes in linear experimen...
AbstractA useful statistical relation between normal linear experiments N(Aβ,σV) and N(Bβ,σW) is red...
This paper deals with the following approach for estimating the mean mu of an n-dimensional random v...
The ordered values of a sample of observations are called the order statistics of the sample and are...
Linear inference is the foundation stone for much of theoretical and applied statistics. In practice...
AbstractGiven matrices A, B and vectors a, b, a necessary and sufficient condition is established fo...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146925/1/rssb00712.pd
ABSTRACT. In the mixed linear model there exist different expressions for an estimator of a given li...
AbstractWe compare multivariate distributions from the point of view of the “strength” of linear rel...
summary:The paper deals with an optimal estimation of the quadratic function $\bold{\beta'D\beta}$, ...
AbstractThree results are given involving a normally distributed matrix X, namely (1) the expectatio...
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