Copula–entropy theory for multivariate stochastic modeling in water engineering
Publication Date: |
2018-03-06
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Publisher: |
SpringerOpen
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Electronic ISSN: |
2196-4092
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Topics: |
Geosciences
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Published by: |
_version_ | 1836398821692669952 |
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autor | Vijay P. Singh and Lan Zhang |
beschreibung | The copula–entropy theory combines the entropy theory and the copula theory. The entropy theory has been extensively applied to derive the most probable univariate distribution subject to specified constraints... |
citation_standardnr | 6186312 |
datenlieferant | ipn_articles |
feed_id | 213544 |
feed_publisher | SpringerOpen |
feed_publisher_url | http://www.springer.com/ |
insertion_date | 2018-03-06 |
journaleissn | 2196-4092 |
publikationsjahr_anzeige | 2018 |
publikationsjahr_facette | 2018 |
publikationsjahr_intervall | 7984:2015-2019 |
publikationsjahr_sort | 2018 |
publisher | SpringerOpen |
quelle | Geoscience Letters |
relation | https://geoscienceletters.springeropen.com/articles/10.1186/s40562-018-0105-z |
search_space | articles |
shingle_author_1 | Vijay P. Singh and Lan Zhang |
shingle_author_2 | Vijay P. Singh and Lan Zhang |
shingle_author_3 | Vijay P. Singh and Lan Zhang |
shingle_author_4 | Vijay P. Singh and Lan Zhang |
shingle_catch_all_1 | Copula–entropy theory for multivariate stochastic modeling in water engineering The copula–entropy theory combines the entropy theory and the copula theory. The entropy theory has been extensively applied to derive the most probable univariate distribution subject to specified constraints... Vijay P. Singh and Lan Zhang SpringerOpen 2196-4092 21964092 |
shingle_catch_all_2 | Copula–entropy theory for multivariate stochastic modeling in water engineering The copula–entropy theory combines the entropy theory and the copula theory. The entropy theory has been extensively applied to derive the most probable univariate distribution subject to specified constraints... Vijay P. Singh and Lan Zhang SpringerOpen 2196-4092 21964092 |
shingle_catch_all_3 | Copula–entropy theory for multivariate stochastic modeling in water engineering The copula–entropy theory combines the entropy theory and the copula theory. The entropy theory has been extensively applied to derive the most probable univariate distribution subject to specified constraints... Vijay P. Singh and Lan Zhang SpringerOpen 2196-4092 21964092 |
shingle_catch_all_4 | Copula–entropy theory for multivariate stochastic modeling in water engineering The copula–entropy theory combines the entropy theory and the copula theory. The entropy theory has been extensively applied to derive the most probable univariate distribution subject to specified constraints... Vijay P. Singh and Lan Zhang SpringerOpen 2196-4092 21964092 |
shingle_title_1 | Copula–entropy theory for multivariate stochastic modeling in water engineering |
shingle_title_2 | Copula–entropy theory for multivariate stochastic modeling in water engineering |
shingle_title_3 | Copula–entropy theory for multivariate stochastic modeling in water engineering |
shingle_title_4 | Copula–entropy theory for multivariate stochastic modeling in water engineering |
timestamp | 2025-06-30T23:33:10.395Z |
titel | Copula–entropy theory for multivariate stochastic modeling in water engineering |
titel_suche | Copula–entropy theory for multivariate stochastic modeling in water engineering |
topic | TE-TZ |
uid | ipn_articles_6186312 |