Identifiability and regression analysis of biological systems models: statistical and mathematical foundations and R scripts
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cham
Springer
[2020]
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Schriftenreihe: | SpringerBriefs in statistics
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Schlagworte: | |
Online-Zugang: | BTU01 FHN01 FHR01 FRO01 FWS01 FWS02 HTW01 TUM01 UBA01 UBM01 UBT01 UBW01 UEI01 UPA01 Volltext |
Beschreibung: | 1 Online-Ressource (x, 82 Seiten) Illustrationen |
ISBN: | 9783030412555 |
ISSN: | 2191-544X |
DOI: | 10.1007/978-3-030-41255-5 |
Internformat
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id | DE-604.BV046652255 |
illustrated | Not Illustrated |
index_date | 2024-07-03T14:17:08Z |
indexdate | 2024-08-01T15:12:43Z |
institution | BVB |
isbn | 9783030412555 |
issn | 2191-544X |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032063459 |
oclc_num | 1150794231 |
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owner | DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-824 DE-384 DE-703 DE-739 DE-634 |
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physical | 1 Online-Ressource (x, 82 Seiten) Illustrationen |
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publishDate | 2020 |
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publisher | Springer |
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spellingShingle | Lecca, Paola 1973- Identifiability and regression analysis of biological systems models statistical and mathematical foundations and R scripts Statistics for Life Sciences, Medicine, Health Sciences Systems Biology Biostatistics Statistical Theory and Methods Mathematical and Computational Biology Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics Systems biology Biomathematics |
title | Identifiability and regression analysis of biological systems models statistical and mathematical foundations and R scripts |
title_auth | Identifiability and regression analysis of biological systems models statistical and mathematical foundations and R scripts |
title_exact_search | Identifiability and regression analysis of biological systems models statistical and mathematical foundations and R scripts |
title_exact_search_txtP | Identifiability and regression analysis of biological systems models statistical and mathematical foundations and R scripts |
title_full | Identifiability and regression analysis of biological systems models statistical and mathematical foundations and R scripts Paola Lecca |
title_fullStr | Identifiability and regression analysis of biological systems models statistical and mathematical foundations and R scripts Paola Lecca |
title_full_unstemmed | Identifiability and regression analysis of biological systems models statistical and mathematical foundations and R scripts Paola Lecca |
title_short | Identifiability and regression analysis of biological systems models |
title_sort | identifiability and regression analysis of biological systems models statistical and mathematical foundations and r scripts |
title_sub | statistical and mathematical foundations and R scripts |
topic | Statistics for Life Sciences, Medicine, Health Sciences Systems Biology Biostatistics Statistical Theory and Methods Mathematical and Computational Biology Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics Systems biology Biomathematics |
topic_facet | Statistics for Life Sciences, Medicine, Health Sciences Systems Biology Biostatistics Statistical Theory and Methods Mathematical and Computational Biology Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics Systems biology Biomathematics |
url | https://doi.org/10.1007/978-3-030-41255-5 |
work_keys_str_mv | AT leccapaola identifiabilityandregressionanalysisofbiologicalsystemsmodelsstatisticalandmathematicalfoundationsandrscripts |