MMLEs are as good as M-estimators or better
type: Item
instance of: scholarly article
published in: Statistics \& Probability Letters
volume: 79
issue: 7
page(s): 984-989
publication date: 2009-04-01T00:00:00Z
publication date: 2009-04-15T00:00:00Z
author: Moti L. Tiku
author: Barış Sürücü
author: M. L. Tiku
title: MMLEs are as good as M-estimators or better
zbMATH Open document ID: 1158.62014
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62F35
zbMATH DE Number: 5543904
MaRDI profile type: Publication
full work available at URL: j.spl.2008.12.001
OpenAlex ID: W2067216711
cites work: Robust estimation in multiple linear regression model with non-Gaussian noise
cites work: Autoregressive models with short-tailed symmetric distributions
cites work: The Asymptotics of Maximum Likelihood and Related Estimators Based on Type II Censored Data
cites work: Robust multiple comparisons
cites work: Confidence Interval Robustness with Long-Tailed Symmetric Distributions
cites work: Q3723487
cites work: Robust Statistics
cites work: Multiple Linear Regression Model Under Nonnormality
cites work: Binary Regression with Stochastic Covariates
cites work: Modified maximum likelihood method for the robust estimation of system parameters from very noisy data
cites work: Robust 2kfactorial design with Weibull error distributions
cites work: ANALYSIS OF VARIANCE IN EXPERIMENTAL DESIGN WITH NONNORMAL ERROR DISTRIBUTIONS
cites work: A power comparison and simulation study of goodness-of-fit tests
cites work: Q3998530
cites work: Estimating the Parameters of Log-Normal Distribution from Censored Samples
cites work: Robustness of MML estimators based on censored samples and robust test statistics
cites work: Modified maximum likelihood estimators for the bivariate normal based on type ii censored samples
cites work: A new method of estimation for location and scale parameters
cites work: Estimation in bivariate nonnormal distributions with stochastic variance functions
cites work: Mahalanobis distance under non-normality
cites work: On the tiku-suresh method of estimation
cites work: THE GENERALIZED SECANT HYPERBOLIC DISTRIBUTION AND ITS PROPERTIES
cites work: Estimation and hypothesis testing for a nonnormal bivariate distribution with applications
DOI: 10.1016/J.SPL.2008.12.001
description: scientific article; zbMATH DE number 5543904