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Applications of Condition Numbers A-Priori Analysis of Moment Method for Describing Size Distributions.

dc.contributor.authorGentry, James W.en_US
dc.contributor.authorCalabrese, Richard V.en_US
dc.date.accessioned2007-05-23T09:37:39Z
dc.date.available2007-05-23T09:37:39Z
dc.date.issued1987en_US
dc.identifier.urihttp://hdl.handle.net/1903/4592
dc.description.abstractA procedure for estimating the effectiveness of algorithms which retrieve size distribution parameters from cumulative fractions or moments is described. The principle of the algorithm is to select moments, or cumulative fractions, which minimize the condition number. Extensive tests of the algorithm for a distribution consisting of the sum of two log normal distributions were carried out. This procedure can be easily extended to use different numbers and types of constituent functions. The simulations indicated that moment methods which include positive and negative moments give the best result. When the means of the constituent distribution are close, the large condition numbers indicate that no algorithm will give unambiguous values for the parameters.en_US
dc.format.extent622783 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1987-84en_US
dc.titleApplications of Condition Numbers A-Priori Analysis of Moment Method for Describing Size Distributions.en_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US


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