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Characterization of Linear Admissible Estimators in Gauss-Markov Model under Normality

BOOK CHAPTER published 1985 in Linear Statistical Inference

Authors: S. Zontek

Admissible linear estimators in restricted linear models

JOURNAL ARTICLE published October 1985 in Linear Algebra and its Applications

Authors: Jerzy K. Baksalary | Augustyn Markiewicz

Characterizations of the best linear unbiased estimator in the general Gauss-Markov model with the use of matrix partial orderings

JOURNAL ARTICLE published 1990 in Linear Algebra and its Applications

Authors: Jerzy K. Baksalary | Simo Puntanen

Characterizations of admissible linear estimators in the linear model

JOURNAL ARTICLE published September 2004 in Linear Algebra and its Applications

Authors: Jürgen Groß | Augustyn Markiewicz

A matrix inequality and admissibility of linear estimators with respect to the mean square error matrix criterion

JOURNAL ARTICLE published January 1989 in Linear Algebra and its Applications

Authors: Jerzy K. Baksalary | Augustyn Markiewicz

A note on comparing the unrestricted and restricted least-squares estimators

JOURNAL ARTICLE published 1990 in Linear Algebra and its Applications

Authors: Jerzy K. Baksalary | PawełR. Pordzik

On a Decomposition of the Singular Gauss-Markov Model

BOOK CHAPTER published 1985 in Linear Statistical Inference

Authors: K. Nordström

Gauss–Markov Model

BOOK CHAPTER published 31 March 2008 in A Primer on Linear Models

On Improving Estimation in a Restricted Gauss-Markov Model

BOOK CHAPTER published 1985 in Linear Statistical Inference

Authors: K. Kłaczyński | P. Pordzik

Characterization of admissible linear estimators in the general growth curve model with respect to an incomplete ellipsoidal restriction

JOURNAL ARTICLE published July 2009 in Linear Algebra and its Applications

Authors: Shangli Zhang | Wenhao Gui | Gang Liu

Least Squares Estimation for the Gauss–Markov Model

BOOK CHAPTER published 2020 in Linear Model Theory

Authors: Dale L. Zimmerman

Least Squares Estimation for the Gauss–Markov Model

BOOK CHAPTER published 2020 in Linear Model Theory

Authors: Dale L. Zimmerman

Strong unified-least-squares matrices for a general linear model

JOURNAL ARTICLE published October 1985 in Linear Algebra and its Applications

Authors: Jerzy K. Baksalary

Gauss–Markov and weighted least-squares estimation under a general growth curve model

JOURNAL ARTICLE published December 2000 in Linear Algebra and its Applications

Authors: Bao-Xue Zhang | Xian-Hai Zhu

On Asymptotic Normality of Admissible Invariant Quadratic Estimators of Variance Components

BOOK CHAPTER published 1994 in Proceedings of the International Conference on Linear Statistical Inference LINSTAT ’93

Authors: Stefan Zontek

On inequality constrained generalized least squares selections in the general possibly singular Gauss-Markov model: A projector theoretical approach

JOURNAL ARTICLE published April 1996 in Linear Algebra and its Applications

Authors: H.J Werner | C Yapar

Softly unbiased estimation, part 1: The Gauss-Markov model

JOURNAL ARTICLE published March 1999 in Linear Algebra and its Applications

Authors: Burkhard Schaffrin

Bayesian Inference for the General Linear Model

BOOK CHAPTER published 22 November 2017 in Bayesian Analysis of Linear Models

Authors: Lyle D. Broemeling

Vector Functions, Vector Differentiation, and Parametric Equations in ℝ2

BOOK CHAPTER published 1986 in Multivariable Calculus, Linear Algebra, and Differential Equations

Authors: STANLEY I. GROSSMAN

Some Remarks on Improving Unbiased Estimators by Multiplication with a Constant

BOOK CHAPTER published 1985 in Linear Statistical Inference

Authors: J. Kleffe