Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/15542

TitleModeling wind energy flux by a Birnbaum-Saunders distribution with an unknowm shift parameter
Author(s)Leiva, Víctor
Athayde, Emilia
Azevedo, Cecília Maria
Marchant, Carolina
KeywordsDiagnostic and goodness-of-fit techniques
ML methods
Hazard analysis
Moments
Wind speed
Issue date2011
PublisherTaylor & Francis
JournalJournal of Applied Statistics
Abstract(s)In this paper, we discuss a Birnbaum–Saunders distribution with an unknown shift parameter and apply it to wind energy modeling.We describe structural aspects of this distribution including properties, moments, mode and hazard and shape analyses.We also discuss estimation, goodness of fit and diagnostic methods for this distribution. A computational implementation in R language of the obtained results is provided. Finally, we apply such results to two unpublished real wind speed data from Chile, which allows us to show the characteristics of this statistical distribution and to model wind energy flux.
TypeArticle
URIhttp://hdl.handle.net/1822/15542
ISSN0266-4763
1360-0532
Publisher versionhttp://dx.doi.org/10.1080/02664763.2011.570319
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals
DMA - Artigos (Papers)

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