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Gauss–Markov Model

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

A note on the equality of the OLSE and the BLUE of the parametric function in the general Gauss–Markov model

JOURNAL ARTICLE published January 2009 in Statistical Papers

Authors: Jarkko Isotalo | Simo Puntanen

On the Linear Aggregation Problem in the General Gauss-Markov Model

PROCEEDINGS ARTICLE published October 2006 in Contributions to Probability and Statistics: Applications and Challenges

Authors: Hans Joachim Werner

Estimability of linear parametric functions in a one-dimensional linear model

JOURNAL ARTICLE published 1 November 1978 in Mathematica Applicanda

Authors: J. K. Baksalary | R. Kala

A Bound for the Euclidean Norm of the Difference Between the Least Squares and the Best Linear Unbiased Estimators

JOURNAL ARTICLE published 1 November 1978 in The Annals of Statistics

Authors: J. K. Baksalary | R. Kala

Gauss-Markov Estimation for Multivariate Linear Models with Missing Observations

JOURNAL ARTICLE published 1 July 1976 in The Annals of Statistics

Authors: Hilmar Drygas

A note on Ahlers and Lewis' representation of the best linear unbiased estimator in the general Gauss-Markoff model

JOURNAL ARTICLE published 1980 in Banach Center Publications

Authors: Jerzy Baksalary | Radosław Kala

Asymptotic optimality of double sampling plans employing generalized regression estimators

JOURNAL ARTICLE published October 1990 in Journal of Statistical Planning and Inference

Authors: Rahul Mukerjee | Arijit Chaudhuri

Comparison of linear restricted models with respect to the validity of admissible and linearly sufficient estimators

JOURNAL ARTICLE published July 1998 in Statistics & Probability Letters

Authors: Augustyn Markiewicz

When are Gauss-Markov and Least Squares Estimators Identical? A Coordinate-Free Approach

JOURNAL ARTICLE published February 1968 in The Annals of Mathematical Statistics

Authors: William Kruskal

Characterizations of two-way layouts from the point of view of variance component estimation in the corresponding mixed linear models

JOURNAL ARTICLE published September 1990 in Journal of Statistical Planning and Inference

Authors: Jerzy K. Baksalary | Anita Dobek | Stanis[lstrok]aw Gnot

On Best Linear Estimation and General Gauss-Markov Theorem in Linear Models with Arbitrary Nonnegative Covariance Structure

JOURNAL ARTICLE published November 1969 in SIAM Journal on Applied Mathematics

Authors: George Zyskind | Frank B. Martin

On Admissibility of Linear Estimators with Respect to the Mean Square Error Matrix Criterion Under the General Mixed Linear Model

JOURNAL ARTICLE published January 1999 in Statistics

Authors: Jürgen Groß | Augustyn Markiewicz

Necessary and sufficient conditions that linear estimators of a mixed effects linear model are admissible under matrix loss function

JOURNAL ARTICLE published January 1993 in Statistics

Authors: Fu Yong Lin | Tang Shang Yong

Relationships Between Some Representations of the Best Linear Unbiased Estimator in the General Gauss–Markoff Model

JOURNAL ARTICLE published November 1978 in SIAM Journal on Applied Mathematics

Authors: J. K. Baksalary | R. Kala

Characterization of admissible linear estimators under extended balanced loss function

JOURNAL ARTICLE published 26 September 2021 in Kybernetika

Authors: Buatikan Mirezi | Selahattin Kaçıranlar

All Admissible Linear Estimates of the Mean Vector

JOURNAL ARTICLE published April 1966 in The Annals of Mathematical Statistics

Authors: Arthur Cohen

Admissible invariant estimators in a linear model

JOURNAL ARTICLE published 30 June 2014 in Kybernetika

Authors: Czesław St\k {e}pniak

Estimability of linear parametric functions in a one-dimensional linear model with restrictions

JOURNAL ARTICLE published 1 November 1978 in Mathematica Applicanda

Authors: J. K. Baksalary | R. Kala

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