Minimum Hellinger distance estimation in simple linear regression models; distribution and efficiency
type: Item
instance of: scholarly article
title: Minimum Hellinger distance estimation in simple linear regression models; distribution and efficiency
zbMATH Open document ID: 0843.62047
DOI: 10.1016/0167-7152(95)00019-4
author: Ro Jin Pak
published in: Statistics \& Probability Letters
publication date: 1996-08-14T00:00:00Z
Mathematics Subject Classification ID: 62G07
Mathematics Subject Classification ID: 62J05
zbMATH DE Number: 885162
zbMATH Keywords: asymptotic efficiency
zbMATH Keywords: kernel density
zbMATH Keywords: minimum Hellinger distance estimation
zbMATH Keywords: simple linear regression model
zbMATH Keywords: slope parameter
zbMATH Keywords: intercept parameter
zbMATH Keywords: scale parameter
zbMATH Keywords: asymptotic normality
MaRDI profile type: Publication
full work available at URL: 0167-7152(95)00019-4
OpenAlex ID: W1978874293
cites work: Minimum disparity estimation for continuous models: Efficiency, distributions and robustness
cites work: Minimum Hellinger distance estimates for parametric models
cites work: Q4305286
cites work: Efficiency versus robustness: The case for minimum Hellinger distance and related methods
cites work: Q4727203
cites work: Minimum Hellinger Distance Estimation for Multivariate Location and Covariance
description: scientific article; zbMATH DE number 885162