Generalized frequency distributions for environmental and water engineering:
A multitude of processes in hydrology and environmental engineering are either random or entail random components which are characterized by random variables. These variables are described by frequency distributions. This book provides an overview of different systems of frequency distributions, the...
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| Hauptverfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2022
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| Schlagworte: | |
| Online-Zugang: | BSB01 BTU01 FHN01 URL des Erstveröffentlichers |
| Zusammenfassung: | A multitude of processes in hydrology and environmental engineering are either random or entail random components which are characterized by random variables. These variables are described by frequency distributions. This book provides an overview of different systems of frequency distributions, their properties, and applications to the fields of water resources and environmental engineering. A variety of systems are covered, including the Pearson system, Burr system, and systems commonly applied in economics, such as the D'Addario, Dagum, Stoppa, and Esteban systems. The latter chapters focus on the Singh system and the frequency distributions deduced from Bessel functions, maximum entropy theory, and the transformations of random variables. The final chapter introduces the genetic theory of frequency distributions. Using real-world data, this book provides a valuable reference for researchers, graduate students, and professionals interested in frequency analysis |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 07 Apr 2022) |
| Beschreibung: | 1 Online-Ressource (xvi, 315 Seiten) |
| ISBN: | 9781009025317 |
| DOI: | 10.1017/9781009025317 |
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| 520 | |a A multitude of processes in hydrology and environmental engineering are either random or entail random components which are characterized by random variables. These variables are described by frequency distributions. This book provides an overview of different systems of frequency distributions, their properties, and applications to the fields of water resources and environmental engineering. A variety of systems are covered, including the Pearson system, Burr system, and systems commonly applied in economics, such as the D'Addario, Dagum, Stoppa, and Esteban systems. The latter chapters focus on the Singh system and the frequency distributions deduced from Bessel functions, maximum entropy theory, and the transformations of random variables. The final chapter introduces the genetic theory of frequency distributions. Using real-world data, this book provides a valuable reference for researchers, graduate students, and professionals interested in frequency analysis | ||
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| dewey-full | 628.01/5195 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 628 - Sanitary engineering |
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| dewey-search | 628.01/5195 |
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| doi_str_mv | 10.1017/9781009025317 |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:54:27Z |
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| institution | BVB |
| isbn | 9781009025317 |
| language | English |
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| spelling | Singh, Vijay P. 1946- (DE-588)104218541 aut Generalized frequency distributions for environmental and water engineering Vijay P. Singh, Texas A&M University, Lan Zhang, Dewberry Cambridge Cambridge University Press 2022 1 Online-Ressource (xvi, 315 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 07 Apr 2022) A multitude of processes in hydrology and environmental engineering are either random or entail random components which are characterized by random variables. These variables are described by frequency distributions. This book provides an overview of different systems of frequency distributions, their properties, and applications to the fields of water resources and environmental engineering. A variety of systems are covered, including the Pearson system, Burr system, and systems commonly applied in economics, such as the D'Addario, Dagum, Stoppa, and Esteban systems. The latter chapters focus on the Singh system and the frequency distributions deduced from Bessel functions, maximum entropy theory, and the transformations of random variables. The final chapter introduces the genetic theory of frequency distributions. Using real-world data, this book provides a valuable reference for researchers, graduate students, and professionals interested in frequency analysis Hydrology / Statistical methods Environmental engineering / Statistical methods Distribution (Probability theory) Zhang, Lan 1972- (DE-588)1205011668 aut Erscheint auch als Druck-Ausgabe 978-1-31-651684-3 https://doi.org/10.1017/9781009025317 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Singh, Vijay P. 1946- Zhang, Lan 1972- Generalized frequency distributions for environmental and water engineering Hydrology / Statistical methods Environmental engineering / Statistical methods Distribution (Probability theory) |
| title | Generalized frequency distributions for environmental and water engineering |
| title_auth | Generalized frequency distributions for environmental and water engineering |
| title_exact_search | Generalized frequency distributions for environmental and water engineering |
| title_exact_search_txtP | Generalized frequency distributions for environmental and water engineering |
| title_full | Generalized frequency distributions for environmental and water engineering Vijay P. Singh, Texas A&M University, Lan Zhang, Dewberry |
| title_fullStr | Generalized frequency distributions for environmental and water engineering Vijay P. Singh, Texas A&M University, Lan Zhang, Dewberry |
| title_full_unstemmed | Generalized frequency distributions for environmental and water engineering Vijay P. Singh, Texas A&M University, Lan Zhang, Dewberry |
| title_short | Generalized frequency distributions for environmental and water engineering |
| title_sort | generalized frequency distributions for environmental and water engineering |
| topic | Hydrology / Statistical methods Environmental engineering / Statistical methods Distribution (Probability theory) |
| topic_facet | Hydrology / Statistical methods Environmental engineering / Statistical methods Distribution (Probability theory) |
| url | https://doi.org/10.1017/9781009025317 |
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