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Regional frequency analysis : an approach based on L-moments

Author: J R M Hosking; James R Wallis
Publisher: Cambridge ; New York : Cambridge University Press, 1997.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
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
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: J R M Hosking; James R Wallis
ISBN: 0521430453 9780521430456 0521019400 9780521019408
OCLC Number: 36225306
Language Note: English.
Description: xiii, 224 pages : illustrations ; 26 cm
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.
Responsibility: J.R.M. Hosking and J.R. Wallis.
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This book is the first complete account of the L-moment approach to regional frequency analysis of environmental extremes.  Read more...

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'The book is an excellent treatise on a practical approach to environmental data analysis. It is logically organized to correspond to the routine steps a researcher would (or should) follow in Read more...

 
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    schema:description "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."@en ;
    schema:description "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."@en ;
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