000			02392nam a22003618i 4500
001			CR9780511529443
003			UkCbUP
005			20200124160330.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090409s1997||||enk o ||1 0|eng|d
020			_a9780511529443 (ebook)
020			_z9780521430456 (hardback)
020			_z9780521019408 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA273.6 _b.H675 1997
082	0	0	_a519.2/4 _221
100	1		_aHosking, J. R. M. _q(Jonathan Richard Morley), _d1955- _eauthor.
245	1	0	_aRegional frequency analysis : _ban approach based on L-moments / _cJ.R.M. Hosking and J.R. Wallis.
264		1	_aCambridge : _bCambridge University Press, _c1997.
300			_a1 online resource (xiii, 224 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aCh. 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			_aExtreme 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.
650		0	_aDistribution (Probability theory)
650		0	_aNatural disasters _xForecasting _xStatistical methods.
700	1		_aWallis, James R., _eauthor.
776	0	8	_iPrint version: _z9780521430456
856	4	0	_uhttps://doi.org/10.1017/CBO9780511529443
999			_c522461 _d522459