A bound for the Euclidean norm of the difference between the least squares and the best linear unbiased estimators
type: Item
instance of: scholarly article
title: A bound for the Euclidean norm of the difference between the least squares and the best linear unbiased estimators
zbMATH Open document ID: 0392.62051
published in: The Annals of Statistics
publication date: 1978-01-01T00:00:00Z
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62J10
zbMATH DE Number: 3608997
zbMATH Keywords: Least Squares Estimators
zbMATH Keywords: Bound
zbMATH Keywords: Haberman
zbMATH Keywords: Euclidean Norm
zbMATH Keywords: Best Linear Unbiased Estimators
zbMATH Keywords: Linear Model
zbMATH Keywords: Nonsingular Covariance Structure
author: Jerzy K. Baksalary
author: Radosław Kala
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1214/aos/1176344383
OpenAlex ID: W2011115910
DOI: 10.1214/AOS/1176344383
description: scientific article; zbMATH DE number 3608997