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dc.creatorSingh, Kulwant
dc.creatorSingh, Vijay P.
dc.date.accessioned2017-10-19T14:48:26Z
dc.date.available2017-10-19T14:48:26Z
dc.date.issued1988-01
dc.identifier.issn0733-9420
dc.identifier.urihttp://hdl.handle.net/1969.1/164673
dc.description.abstractThe principle of maximum entropy (POME) is employed to derive an alternative method of parameter estimation for the log-Pearson type (LPT) III distribution. Historical flood data are used to evaluate this method and compare it with the methods of moments (MOM) and maximum likelihood estimation (MLE). The parameter estimates yielded by POME are comparable to those by MOM and MLE.en_US
dc.language.isoen_USen_US
dc.titleParameter Estimation for Log-Pearson Type III Distribution by Pomeen_US
dc.typeArticleen_US
local.departmentBiological and Agricultural Engineering (College of Agriculture and Life Sciences)en_US


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