Regional frequency analysis: an approach based on L-moments
Extreme environmental events, such as floods, droughts, rainstorms and high winds, have severe consequences for human society. Regional frequency analysis helps to solve the problem of estimating the frequency of these rare events at one site, by using data from several sites. This book is the first...
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
1997
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 URL des Erstveröffentlichers |
| Zusammenfassung: | Extreme environmental events, such as floods, droughts, rainstorms and high winds, have severe consequences for human society. Regional frequency analysis helps to solve the problem of estimating the frequency of these rare events at one site, by using data from several sites. This book is the first complete account of the L-moment approach to regional frequency analysis. Regional Frequency Analysis comprehensively describes the theoretical background to the subject, is rich in practical advice for users, and contains detailed examples that illustrate the approach. This book will be of great value to hydrologists, atmospheric scientists and civil engineers, concerned with environmental extremes |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xiii, 224 pages) |
| ISBN: | 9780511529443 |
| DOI: | 10.1017/CBO9780511529443 |
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| 505 | 8 | |a Ch. 1. Regional frequency analysis -- Ch. 2. L-moments -- Ch. 3. Screening the data -- Ch. 4. Identification of homogeneous regions -- Ch. 5. Choice of a frequency distribution -- Ch. 6. Estimation of the frequency distribution -- Ch. 7. Performance of the regional L-moment algorithm -- Ch. 8. Other topics -- Ch. 9. Examples -- App. L-moments for some specific distributions | |
| 520 | |a Extreme environmental events, such as floods, droughts, rainstorms and high winds, have severe consequences for human society. Regional frequency analysis helps to solve the problem of estimating the frequency of these rare events at one site, by using data from several sites. This book is the first complete account of the L-moment approach to regional frequency analysis. Regional Frequency Analysis comprehensively describes the theoretical background to the subject, is rich in practical advice for users, and contains detailed examples that illustrate the approach. This book will be of great value to hydrologists, atmospheric scientists and civil engineers, concerned with environmental extremes | ||
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Datensatz im Suchindex
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|---|---|
| any_adam_object | |
| author | Hosking, J. R. M. 1955- |
| author_facet | Hosking, J. R. M. 1955- |
| author_role | aut |
| author_sort | Hosking, J. R. M. 1955- |
| author_variant | j r m h jrm jrmh |
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| bvnumber | BV043945659 |
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| contents | Ch. 1. Regional frequency analysis -- Ch. 2. L-moments -- Ch. 3. Screening the data -- Ch. 4. Identification of homogeneous regions -- Ch. 5. Choice of a frequency distribution -- Ch. 6. Estimation of the frequency distribution -- Ch. 7. Performance of the regional L-moment algorithm -- Ch. 8. Other topics -- Ch. 9. Examples -- App. L-moments for some specific distributions |
| ctrlnum | (ZDB-20-CBO)CR9780511529443 (OCoLC)849879911 (DE-599)BVBBV043945659 |
| dewey-full | 519.2/4 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2/4 |
| dewey-search | 519.2/4 |
| dewey-sort | 3519.2 14 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik Geographie |
| doi_str_mv | 10.1017/CBO9780511529443 |
| format | Electronic eBook |
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| isbn | 9780511529443 |
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| spelling | Hosking, J. R. M. 1955- Verfasser aut Regional frequency analysis an approach based on L-moments J.R.M. Hosking and J.R. Wallis Cambridge Cambridge University Press 1997 1 online resource (xiii, 224 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Ch. 1. Regional frequency analysis -- Ch. 2. L-moments -- Ch. 3. Screening the data -- Ch. 4. Identification of homogeneous regions -- Ch. 5. Choice of a frequency distribution -- Ch. 6. Estimation of the frequency distribution -- Ch. 7. Performance of the regional L-moment algorithm -- Ch. 8. Other topics -- Ch. 9. Examples -- App. L-moments for some specific distributions Extreme environmental events, such as floods, droughts, rainstorms and high winds, have severe consequences for human society. Regional frequency analysis helps to solve the problem of estimating the frequency of these rare events at one site, by using data from several sites. This book is the first complete account of the L-moment approach to regional frequency analysis. Regional Frequency Analysis comprehensively describes the theoretical background to the subject, is rich in practical advice for users, and contains detailed examples that illustrate the approach. This book will be of great value to hydrologists, atmospheric scientists and civil engineers, concerned with environmental extremes Distribution (Probability theory) Natural disasters / Forecasting / Statistical methods Katastrophe (DE-588)4029929-6 gnd rswk-swf Vorhersagetheorie (DE-588)4188671-9 gnd rswk-swf Wahrscheinlichkeitsverteilung (DE-588)4121894-2 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Naturkatastrophe (DE-588)4041387-1 gnd rswk-swf Schadenfrüherkennung (DE-588)4179292-0 gnd rswk-swf 1\p (DE-588)4006432-3 Bibliografie gnd-content Wahrscheinlichkeitsverteilung (DE-588)4121894-2 s Naturkatastrophe (DE-588)4041387-1 s Vorhersagetheorie (DE-588)4188671-9 s Statistik (DE-588)4056995-0 s 2\p DE-604 Katastrophe (DE-588)4029929-6 s Schadenfrüherkennung (DE-588)4179292-0 s 3\p DE-604 Wallis, James R. Sonstige oth Erscheint auch als Druckausgabe 978-0-521-01940-8 Erscheint auch als Druckausgabe 978-0-521-43045-6 https://doi.org/10.1017/CBO9780511529443 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Hosking, J. R. M. 1955- Regional frequency analysis an approach based on L-moments Ch. 1. Regional frequency analysis -- Ch. 2. L-moments -- Ch. 3. Screening the data -- Ch. 4. Identification of homogeneous regions -- Ch. 5. Choice of a frequency distribution -- Ch. 6. Estimation of the frequency distribution -- Ch. 7. Performance of the regional L-moment algorithm -- Ch. 8. Other topics -- Ch. 9. Examples -- App. L-moments for some specific distributions Distribution (Probability theory) Natural disasters / Forecasting / Statistical methods Katastrophe (DE-588)4029929-6 gnd Vorhersagetheorie (DE-588)4188671-9 gnd Wahrscheinlichkeitsverteilung (DE-588)4121894-2 gnd Statistik (DE-588)4056995-0 gnd Naturkatastrophe (DE-588)4041387-1 gnd Schadenfrüherkennung (DE-588)4179292-0 gnd |
| subject_GND | (DE-588)4029929-6 (DE-588)4188671-9 (DE-588)4121894-2 (DE-588)4056995-0 (DE-588)4041387-1 (DE-588)4179292-0 (DE-588)4006432-3 |
| title | Regional frequency analysis an approach based on L-moments |
| title_auth | Regional frequency analysis an approach based on L-moments |
| title_exact_search | Regional frequency analysis an approach based on L-moments |
| title_full | Regional frequency analysis an approach based on L-moments J.R.M. Hosking and J.R. Wallis |
| title_fullStr | Regional frequency analysis an approach based on L-moments J.R.M. Hosking and J.R. Wallis |
| title_full_unstemmed | Regional frequency analysis an approach based on L-moments J.R.M. Hosking and J.R. Wallis |
| title_short | Regional frequency analysis |
| title_sort | regional frequency analysis an approach based on l moments |
| title_sub | an approach based on L-moments |
| topic | Distribution (Probability theory) Natural disasters / Forecasting / Statistical methods Katastrophe (DE-588)4029929-6 gnd Vorhersagetheorie (DE-588)4188671-9 gnd Wahrscheinlichkeitsverteilung (DE-588)4121894-2 gnd Statistik (DE-588)4056995-0 gnd Naturkatastrophe (DE-588)4041387-1 gnd Schadenfrüherkennung (DE-588)4179292-0 gnd |
| topic_facet | Distribution (Probability theory) Natural disasters / Forecasting / Statistical methods Katastrophe Vorhersagetheorie Wahrscheinlichkeitsverteilung Statistik Naturkatastrophe Schadenfrüherkennung Bibliografie |
| url | https://doi.org/10.1017/CBO9780511529443 |
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