Please use this identifier to cite or link to this item: http://117.252.14.250:8080/jspui/handle/123456789/3617
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dc.contributor.authorBobee, Bernard-
dc.contributor.authorAskhar, Fahim-
dc.date.accessioned2019-09-20T10:19:54Z-
dc.date.available2019-09-20T10:19:54Z-
dc.date.issued1988-
dc.identifier.urihttp://117.252.14.250:8080/jspui/handle/123456789/3617-
dc.description.abstractThe log Pearson type 3 distribution has been recommended in the U.S. and Australia for representing annual flood flow series. The method of moments is one of the popular methods used for fitting this distribution. This method has been applied to (1) the sample of observed (raw) flood values, (2) the sample of logarithmically transformed values and (3) a combination of raw and logarithmically transformed values. Some investigators have felt unconfortable about: (1) the use of transformed flood data in flood frequency estimation and (2) the use of high moments of the sample (moments of order 3 or more). We present a method which applies directly to the observed flood sample but which uses moments of low order, namely the harmonic mean (moment of order-1), geometric mean (moment of order "quasi zero") and arithmetic mean (moment of order 1). We call this method the "Sundry Averages Method" (S.A.M.).en_US
dc.language.isoenen_US
dc.publisherNational Institute of Hydrologyen_US
dc.subjectSundry averages method (SAM)en_US
dc.subjectLog-pearson 3 distrbution.en_US
dc.titleTheme-2-1-Sundry averages method (SAM) for fitting Log-pearson 3 distrbution.en_US
dc.typeTechnical Reporten_US
Appears in Collections:International Seminar on Hydrology of Extremes (Floods & Low Flows) 1-3 December 1988 at Roorkee (India)

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