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Likelihood-based detection of cluster centers for Neyman–Scott point processes

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Published in:Journal of Environmental Statistics
Format: Online Article RSS Article
Published: 2018
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container_title Journal of Environmental Statistics
description
discipline_display Natural Sciences
discipline_facet Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:16223
institution FRELIP
journal_source_facet Journal of Environmental Statistics
publishDate 2018
publishDateSort 2018
record_format rss_article
spellingShingle Likelihood-based detection of cluster centers for Neyman–Scott point processes
Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Mathematical Sciences
sub_discipline_facet Natural Sciences — Mathematical Sciences
subject_display Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
subject_facet Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
title Likelihood-based detection of cluster centers for Neyman–Scott point processes
title_auth Likelihood-based detection of cluster centers for Neyman–Scott point processes
title_full Likelihood-based detection of cluster centers for Neyman–Scott point processes
title_fullStr Likelihood-based detection of cluster centers for Neyman–Scott point processes
title_full_unstemmed Likelihood-based detection of cluster centers for Neyman–Scott point processes
title_short Likelihood-based detection of cluster centers for Neyman–Scott point processes
title_sort likelihood-based detection of cluster centers for neyman–scott point processes
topic Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
url http://www.jenvstat.org/v08/i03/paper