Bayesian estimation for Burr distribution type III based on trimmed samples
type: Item
instance of: scholarly article
title: Bayesian estimation for Burr distribution type III based on trimmed samples
zbMATH Open document ID: 1264.62021
DOI: 10.5402/2012/250393
author: A. M. Abd-Elfattah
author: A. H. Alharbey
published in: ISRN Applied Mathematics
publication date: 2013-06-11T00:00:00Z
review text: Summary: Trimmed samples are widely employed in several areas of statistical practice, especially when some sample values at either or both extremes might have been contaminated. The problem of estimating the parameters of Burr type III distributions based on trimmed samples and prior information will be considered. We study the estimation of unknown parameters based on doubly censored type II distributions. The problem is discussed using the maximum likelihood method and a Bayesian approach to estimate the shape parameters of Burr type III distributions. The numerical illustration requires solving nonlinear equations, therefore the MathCAD (2001) statistical package is used to asses these effects numerically.
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 65C60
Mathematics Subject Classification ID: 62-04
Mathematics Subject Classification ID: 62N01
zbMATH DE Number: 6172931
describes a project that uses: Mathcad
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.5402/2012/250393
OpenAlex ID: W2010504313
Wikidata QID: Q58689990
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description: scientific article; zbMATH DE number 6172931