Simultaneous equivariant estimation of the parameters of matrix scale and matrix location-scale models

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Invariantly sufficient equivariant statistics and characterizations of normality in translation classes
Estimating a Cholesky decomposition
Simultaneous estimation of parameters under entropy loss
Best equivariant estimators of a Cholesky decomposition
Simultaneous equivariant estimation for location-scale models
On the best equivariant estimator of mean of a multivariate normal population
Sufficiency and invariance in confidence set estimation
Characterization of an optimal matrix estimator under convex loss function
On sufficiency and invariance
On estimation of the scale matrix of the multivariate f distribution
Bayes and equtvariant estimators of the variance of a finite population: part I, simple random sampling
Bayes equivariant estimators of the variance of a finite population for exponential priors
On Invariance of Bayes Estimates for Generalized Random Variables
Equivariant Estimation for the Parameters of an Exponential Model Based on Censored Sampling
Simultaneous estimation of the multivariate normal mean under balanced loss function
On the best equivariant estimator of covariance matrix of a multivariate normal population
Equivariant estimation of a normal mean vector using a normal concomitant vector for covariance adjustment
EQUIVARIANT ESTIMATION FOR PARAMETERS OF EXPONENTIAL DISTRIBUTIONS BASED ON TYPE-II PROGRESSIVELY CENSORED SAMPLES
Orthogonal Equivariant Minimax Estimatorsof Bivariate Normal Covariance Matrix and Precision Matrix
The Relationship Between Sufficiency and Invariance with Applications in Sequential Analysis
A Note on Sufficiency and Invariance

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