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contributor authorQin, Xu
contributor authorZhang, Jiang-she
contributor authorYan, Xiao-dong
date accessioned2017-06-09T16:48:51Z
date available2017-06-09T16:48:51Z
date copyright2012/07/01
date issued2012
identifier issn1558-8424
identifier otherams-74613.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4216858
description abstractn this paper, the authors propose two improved mixture Weibull distribution models by adding one or two location parameters to the existing two-component mixture two-parameter Weibull distribution [MWbl(2, 2)] model. One improved model is the mixture two-parameter Weibull and three-parameter Weibull distribution [MWbl(2, 3)] model. The other improved model is the two-component mixture three-parameter Weibull distribution [MWbl(3, 3)] model. In contrast to existing literature, which has focused on the MWbl(2, 2) and the typical Weibull distribution models, the authors apply the MWbl(2, 3) model and MWbl(3, 3) model to fit the distribution of wind speed data with nearly zero percentages of null wind speed. The parameters of the two improved models are estimated by the maximum likelihood method in which the maximization problem is regarded as a nonlinear programming problem with only inequality constraints and is solved numerically by the interior-point method. The experimental results show that the mixture Weibull models proposed in this paper are more flexible than the existing models for the analysis of wind speed data in practice.
publisherAmerican Meteorological Society
titleTwo Improved Mixture Weibull Models for the Analysis of Wind Speed Data
typeJournal Paper
journal volume51
journal issue7
journal titleJournal of Applied Meteorology and Climatology
identifier doi10.1175/JAMC-D-11-0231.1
journal fristpage1321
journal lastpage1332
treeJournal of Applied Meteorology and Climatology:;2012:;volume( 051 ):;issue: 007
contenttypeFulltext


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