On robustness of maximum likelihood estimates for Poisson-lognormal models.
type: Item
instance of: scholarly article
title: On robustness of maximum likelihood estimates for Poisson-lognormal models.
zbMATH Open document ID: 1104.62081
published in: Statistics \& Probability Letters
publication date: 2004-02-14T00:00:00Z
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 62J20
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62F35
zbMATH DE Number: 2041514
zbMATH Keywords: Generalized linear mixed models
zbMATH Keywords: Robustness
zbMATH Keywords: Influence functions
zbMATH Keywords: Gâteaux
zbMATH Keywords: derivatives
zbMATH Keywords: Maximum likelihood estimation
author: Kimberly S. Weems
author: Paul J. Smith
MaRDI profile type: Publication
full work available at URL: j.spl.2003.11.003
OpenAlex ID: W1982653426
cites work: Q5824821
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cites work: Robust Statistics
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cites work: LOG‐LINEAR MODELS FOR MEAN AND DISPERSION IN MIXED POISSON REGRESSION MODELS
cites work: Nonlinear Regression on Cross-Section Data
DOI: 10.1016/J.SPL.2003.11.003
description: scientific article; zbMATH DE number 2041514