Finsler Geometry for Two-Parameter Weibull Distribution Function

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 functio...

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Main Authors: Emrah Dokur, Salim Ceyhan, Mehmet Kurban
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2017/9720946
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spelling doaj-3d7585ac2092413b81861bacbd40a25a2020-11-24T23:47:25ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472017-01-01201710.1155/2017/97209469720946Finsler Geometry for Two-Parameter Weibull Distribution FunctionEmrah Dokur0Salim Ceyhan1Mehmet Kurban2Department of Electrical and Electronics Engineering, Engineering Faculty, Bilecik S.E. University, 11210 Bilecik, TurkeyDepartment of Computer Engineering, Engineering Faculty, Bilecik S.E. University, 11210 Bilecik, TurkeyDepartment of Electrical and Electronics Engineering, Engineering Faculty, Bilecik S.E. University, 11210 Bilecik, TurkeyTo 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.http://dx.doi.org/10.1155/2017/9720946
collection DOAJ
language English
format Article
sources DOAJ
author Emrah Dokur
Salim Ceyhan
Mehmet Kurban
spellingShingle Emrah Dokur
Salim Ceyhan
Mehmet Kurban
Finsler Geometry for Two-Parameter Weibull Distribution Function
Mathematical Problems in Engineering
author_facet Emrah Dokur
Salim Ceyhan
Mehmet Kurban
author_sort Emrah Dokur
title Finsler Geometry for Two-Parameter Weibull Distribution Function
title_short Finsler Geometry for Two-Parameter Weibull Distribution Function
title_full Finsler Geometry for Two-Parameter Weibull Distribution Function
title_fullStr Finsler Geometry for Two-Parameter Weibull Distribution Function
title_full_unstemmed Finsler Geometry for Two-Parameter Weibull Distribution Function
title_sort finsler geometry for two-parameter weibull distribution function
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2017-01-01
description 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.
url http://dx.doi.org/10.1155/2017/9720946
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AT salimceyhan finslergeometryfortwoparameterweibulldistributionfunction
AT mehmetkurban finslergeometryfortwoparameterweibulldistributionfunction
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