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Mathematical Problems in Engineering
Article . 2017 . Peer-reviewed
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Mathematical Problems in Engineering
Article
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Finsler Geometry for Two‐Parameter Weibull Distribution Function

Finsler geometry for two-parameter Weibull distribution function
Authors: Emrah Dokur; Salim Ceyhan; Mehmet Kurban;

Finsler Geometry for Two‐Parameter Weibull Distribution Function

Abstract

To construct the geometry in nonflat spaces in order to understand nature has great importance in terms of applied science. Finsler geometry allows accurate modeling and describing ability for asymmetric structures in this application area. In this paper, two‐dimensional Finsler space metric function is obtained for Weibull distribution which is used in many applications in this area such as wind speed modeling. The metric definition for two‐parameter Weibull probability density function which has shape (k) and scale (c) parameters in two‐dimensional Finsler space is realized using a different approach by Finsler geometry. In addition, new probability and cumulative probability density functions based on Finsler geometry are proposed which can be used in many real world applications. For future studies, it is aimed at proposing more accurate models by using this novel approach than the models which have two‐parameter Weibull probability density function, especially used for determination of wind energy potential of a region.

Country
Turkey
Related Organizations
Keywords

System, Statistical-Analysis, Bayesian inference, Wind-Speed, Local differential geometry of Finsler spaces and generalizations (areal metrics), Geodesics, Distribution theory, Models, Parameters, Numerical-Methods

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Green
gold