Holdings: Probabilistic models of population evolution

Probabilistic models of population evolution: scaling limits, genealogies and interactions

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Bibliographic Details
Main Author:	Pardoux, Etienne 1947- (Author)
Format:	Electronic eBook
Language:	English
Published:	[Cham] Springer [2016]
Series:	Stochastics in biological systems [6]
Subjects:	Mathematics Ecology Probabilities Biomathematics Mathematical and Computational Biology Probability Theory and Stochastic Processes Theoretical Ecology/Statistics Mathematik Ökologie
Online Access:	BTU01 FHR01 FRO01 TUM01 UBM01 UBT01 UBW01 UEI01 UPA01 Volltext
Physical Description:	1 Online-Ressource (VIII, 125 Seiten, 6 illus., 2 illus. in color)
ISBN:	9783319303284
DOI:	10.1007/978-3-319-30328-4

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MARC


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Record in the Search Index

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illustrated	Not Illustrated
indexdate	2024-07-10T07:31:32Z
institution	BVB
isbn	9783319303284
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-029064101
oclc_num	953132199
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owner	DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-20 DE-739 DE-634 DE-898 DE-BY-UBR DE-861 DE-703 DE-824 DE-83
owner_facet	DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-20 DE-739 DE-634 DE-898 DE-BY-UBR DE-861 DE-703 DE-824 DE-83
physical	1 Online-Ressource (VIII, 125 Seiten, 6 illus., 2 illus. in color)
psigel	ZDB-2-SMA ZDB-2-SMA_2016
publishDate	2016
publishDateSearch	2016
publishDateSort	2016
publisher	Springer
record_format	marc
series	Stochastics in biological systems
series2	Mathematical Biosciences Institute lecture series Stochastics in biological systems
spelling	Pardoux, Etienne 1947- Verfasser (DE-588)111361117 aut Probabilistic models of population evolution scaling limits, genealogies and interactions Étienne Pardoux [Cham] Springer [2016] 1 Online-Ressource (VIII, 125 Seiten, 6 illus., 2 illus. in color) txt rdacontent c rdamedia cr rdacarrier Mathematical Biosciences Institute lecture series volume 1 Stochastics in biological systems [6] Mathematics Ecology Probabilities Biomathematics Mathematical and Computational Biology Probability Theory and Stochastic Processes Theoretical Ecology/Statistics Mathematik Ökologie Erscheint auch als Druck-Ausgabe 978-3-319-30326-0 Stochastics in biological systems [6] (DE-604)BV042604489 1,6 https://doi.org/10.1007/978-3-319-30328-4 Verlag URL des Erstveröffentlichers Volltext
spellingShingle	Pardoux, Etienne 1947- Probabilistic models of population evolution scaling limits, genealogies and interactions Stochastics in biological systems Mathematics Ecology Probabilities Biomathematics Mathematical and Computational Biology Probability Theory and Stochastic Processes Theoretical Ecology/Statistics Mathematik Ökologie
title	Probabilistic models of population evolution scaling limits, genealogies and interactions
title_auth	Probabilistic models of population evolution scaling limits, genealogies and interactions
title_exact_search	Probabilistic models of population evolution scaling limits, genealogies and interactions
title_full	Probabilistic models of population evolution scaling limits, genealogies and interactions Étienne Pardoux
title_fullStr	Probabilistic models of population evolution scaling limits, genealogies and interactions Étienne Pardoux
title_full_unstemmed	Probabilistic models of population evolution scaling limits, genealogies and interactions Étienne Pardoux
title_short	Probabilistic models of population evolution
title_sort	probabilistic models of population evolution scaling limits genealogies and interactions
title_sub	scaling limits, genealogies and interactions
topic	Mathematics Ecology Probabilities Biomathematics Mathematical and Computational Biology Probability Theory and Stochastic Processes Theoretical Ecology/Statistics Mathematik Ökologie
topic_facet	Mathematics Ecology Probabilities Biomathematics Mathematical and Computational Biology Probability Theory and Stochastic Processes Theoretical Ecology/Statistics Mathematik Ökologie
url	https://doi.org/10.1007/978-3-319-30328-4
volume_link	(DE-604)BV042604489
work_keys_str_mv	AT pardouxetienne probabilisticmodelsofpopulationevolutionscalinglimitsgenealogiesandinteractions

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