Masses of negative multinomial distributions: application to polarimetric image processing
type: Item
instance of: scholarly article
title: Masses of negative multinomial distributions: application to polarimetric image processing
zbMATH Open document ID: 1273.62117
DOI: 10.1155/2013/170967
author: Philippe Bernardoff
author: Florent Chatelain
author: Jean-Yves Tourneret
published in: Journal of Probability and Statistics
publication date: 2013-05-31T00:00:00Z
review text: Summary: This paper derives new closed-form expressions for the masses of negative multinomial distributions. These masses can be maximized to determine the maximum likelihood estimator of its unknown parameters. An application to polarimetric image processing is investigated. We study the maximum likelihood estimators of the polarization degree of polarimetric images using different combinations of images.
Mathematics Subject Classification ID: 62H10
Mathematics Subject Classification ID: 62P30
Mathematics Subject Classification ID: 62H35
Mathematics Subject Classification ID: 62F10
zbMATH DE Number: 6168862
Wikidata QID: Q59021338
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/170967
OpenAlex ID: W2054582133
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description: scientific article; zbMATH DE number 6168862