Dealing with monotone likelihood in a model for speckled data
type: Item
instance of: scholarly article
title: Dealing with monotone likelihood in a model for speckled data
zbMATH Open document ID: 1328.65040
author: Donald M. Pianto
author: Francisco Cribari-Neto
published in: Computational Statistics and Data Analysis
publication date: 2016-01-12T00:00:00Z
Mathematics Subject Classification ID: 65C60
Mathematics Subject Classification ID: 62-07
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62F40
zbMATH DE Number: 6528929
zbMATH Keywords: speckle
zbMATH Keywords: \(\mathcal G_A^0\) distribution
zbMATH Keywords: monotone likelihood
zbMATH Keywords: bootstrap
describes a project that uses: R
describes a project that uses: Ox
MaRDI profile type: Publication
full work available at URL: j.csda.2010.09.029
OpenAlex ID: W2038712858
cites work: On a formula for the distribution of the maximum likelihood estimator
cites work: Q4272662
cites work: On bias reduction in exponential and non-exponential family regression models
cites work: Q4272478
cites work: Q4725475
cites work: On the stability of maximum‐likelihood estimators of orthogonal parameters
cites work: Improved estimation of clutter properties in speckled imagery.
cites work: Bootstrap methods: another look at the jackknife
cites work: More Efficient Bootstrap Computations
cites work: Bias reduction of maximum likelihood estimates
cites work: Objective Bayesian analysis for the Student-t regression model
cites work: Q4849049
cites work: A simple general formula for tail probabilities for frequentist and Bayesian inference
cites work: Analysis of minute features in speckled imagery with maximum likelihood estimation
cites work: A Solution to the Problem of Monotone Likelihood in Cox Regression
cites work: An invariant form for the prior probability in estimation problems
cites work: Infinite Parameter Estimates in Logistic Regression, with Application to Approximate Conditional Inference
cites work: Bias Reduction using Stochastic Approximation
cites work: On the bootstrap and monotone likelihood in the Cox proportional hazards regression model
cites work: Q3996154
cites work: Q5287558
cites work: NOTES ON BIAS IN ESTIMATION
cites work: Bias prevention of maximum likelihood estimates for scalar skew normal and skew \(t\) distribu\-tions
cites work: Improving estimation in speckled imagery
DOI: 10.1016/J.CSDA.2010.09.029
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description: scientific article; zbMATH DE number 6528929