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. How frequently an event of a given magnitude may be expected to occur is of great importance. Planning for weather-related emergencies, design of civil engineering structur...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Cambridge [u.a.]
Cambridge Univ. Press
1997
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Ausgabe: | 1. publ. |
Schlagworte: | |
Zusammenfassung: | Extreme environmental events, such as floods, droughts, rainstorms, and high winds, have severe consequences for human society. How frequently an event of a given magnitude may be expected to occur is of great importance. Planning for weather-related emergencies, design of civil engineering structures, reservoir management, pollution control, and insurance risk calculations, all rely on knowledge of the frequency of these extreme events. Estimation of these frequencies is difficult because extreme events are by definition rare and the data record is often short Regional frequency analysis resolves this problem by "trading space for time"; data from several sites are used in estimating event frequencies at any one site. L-moments are a recent development within statistics. They form the basis of an elegant mathematical theory in their own right and can be used to facilitate the estimation process in regional frequency analysis. L-moments methods are demonstrably superior to those that have been used previously and are now being adopted by many organizations worldwide This book is the first complete account of the L-moment approach to regional frequency analysis. It brings together results that previously were scattered among academic journals and also includes much new material. 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: | XIII, 224 S. graph. Darst. |
ISBN: | 0521430453 |
Internformat
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520 | 3 | |a Extreme environmental events, such as floods, droughts, rainstorms, and high winds, have severe consequences for human society. How frequently an event of a given magnitude may be expected to occur is of great importance. Planning for weather-related emergencies, design of civil engineering structures, reservoir management, pollution control, and insurance risk calculations, all rely on knowledge of the frequency of these extreme events. Estimation of these frequencies is difficult because extreme events are by definition rare and the data record is often short | |
520 | |a Regional frequency analysis resolves this problem by "trading space for time"; data from several sites are used in estimating event frequencies at any one site. L-moments are a recent development within statistics. They form the basis of an elegant mathematical theory in their own right and can be used to facilitate the estimation process in regional frequency analysis. L-moments methods are demonstrably superior to those that have been used previously and are now being adopted by many organizations worldwide | ||
520 | |a This book is the first complete account of the L-moment approach to regional frequency analysis. It brings together results that previously were scattered among academic journals and also includes much new material. 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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adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Hosking, Jonathan Richard Morley Wallis, James R. |
author_facet | Hosking, Jonathan Richard Morley Wallis, James R. |
author_role | aut aut |
author_sort | Hosking, Jonathan Richard Morley |
author_variant | j r m h jrm jrmh j r w jr jrw |
building | Verbundindex |
bvnumber | BV021937620 |
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callnumber-subject | QA - Mathematics |
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ctrlnum | (OCoLC)832955091 (DE-599)BVBBV021937620 |
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 |
discipline_str_mv | Mathematik Geographie |
edition | 1. publ. |
format | Book |
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genre_facet | Bibliografie |
id | DE-604.BV021937620 |
illustrated | Illustrated |
index_date | 2024-07-02T16:06:42Z |
indexdate | 2024-07-09T20:47:47Z |
institution | BVB |
isbn | 0521430453 |
language | English |
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physical | XIII, 224 S. graph. Darst. |
publishDate | 1997 |
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publisher | Cambridge Univ. Press |
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spelling | Hosking, Jonathan Richard Morley Verfasser aut Regional frequency analysis an approach based on L-moments J. R. M. Hosking and J. R. Wallis 1. publ. Cambridge [u.a.] Cambridge Univ. Press 1997 XIII, 224 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Extreme environmental events, such as floods, droughts, rainstorms, and high winds, have severe consequences for human society. How frequently an event of a given magnitude may be expected to occur is of great importance. Planning for weather-related emergencies, design of civil engineering structures, reservoir management, pollution control, and insurance risk calculations, all rely on knowledge of the frequency of these extreme events. Estimation of these frequencies is difficult because extreme events are by definition rare and the data record is often short Regional frequency analysis resolves this problem by "trading space for time"; data from several sites are used in estimating event frequencies at any one site. L-moments are a recent development within statistics. They form the basis of an elegant mathematical theory in their own right and can be used to facilitate the estimation process in regional frequency analysis. L-moments methods are demonstrably superior to those that have been used previously and are now being adopted by many organizations worldwide This book is the first complete account of the L-moment approach to regional frequency analysis. It brings together results that previously were scattered among academic journals and also includes much new material. 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 Catastrophes naturelles - Prévision - Méthodes statistiques Distribution (Théorie des probabilités) Distribution (Probability theory) Natural disasters Forecasting Statistical methods Vorhersagetheorie (DE-588)4188671-9 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Wahrscheinlichkeitsverteilung (DE-588)4121894-2 gnd rswk-swf Katastrophe (DE-588)4029929-6 gnd rswk-swf Schadenfrüherkennung (DE-588)4179292-0 gnd rswk-swf Naturkatastrophe (DE-588)4041387-1 gnd rswk-swf 1\p (DE-588)4006432-3 Bibliografie gnd-content Katastrophe (DE-588)4029929-6 s Wahrscheinlichkeitsverteilung (DE-588)4121894-2 s Schadenfrüherkennung (DE-588)4179292-0 s DE-604 Naturkatastrophe (DE-588)4041387-1 s Vorhersagetheorie (DE-588)4188671-9 s Statistik (DE-588)4056995-0 s Wallis, James R. Verfasser aut 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Hosking, Jonathan Richard Morley Wallis, James R. Regional frequency analysis an approach based on L-moments Catastrophes naturelles - Prévision - Méthodes statistiques Distribution (Théorie des probabilités) Distribution (Probability theory) Natural disasters Forecasting Statistical methods Vorhersagetheorie (DE-588)4188671-9 gnd Statistik (DE-588)4056995-0 gnd Wahrscheinlichkeitsverteilung (DE-588)4121894-2 gnd Katastrophe (DE-588)4029929-6 gnd Schadenfrüherkennung (DE-588)4179292-0 gnd Naturkatastrophe (DE-588)4041387-1 gnd |
subject_GND | (DE-588)4188671-9 (DE-588)4056995-0 (DE-588)4121894-2 (DE-588)4029929-6 (DE-588)4179292-0 (DE-588)4041387-1 (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_exact_search_txtP | 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 | Catastrophes naturelles - Prévision - Méthodes statistiques Distribution (Théorie des probabilités) Distribution (Probability theory) Natural disasters Forecasting Statistical methods Vorhersagetheorie (DE-588)4188671-9 gnd Statistik (DE-588)4056995-0 gnd Wahrscheinlichkeitsverteilung (DE-588)4121894-2 gnd Katastrophe (DE-588)4029929-6 gnd Schadenfrüherkennung (DE-588)4179292-0 gnd Naturkatastrophe (DE-588)4041387-1 gnd |
topic_facet | Catastrophes naturelles - Prévision - Méthodes statistiques Distribution (Théorie des probabilités) Distribution (Probability theory) Natural disasters Forecasting Statistical methods Vorhersagetheorie Statistik Wahrscheinlichkeitsverteilung Katastrophe Schadenfrüherkennung Naturkatastrophe Bibliografie |
work_keys_str_mv | AT hoskingjonathanrichardmorley regionalfrequencyanalysisanapproachbasedonlmoments AT wallisjamesr regionalfrequencyanalysisanapproachbasedonlmoments |