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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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2017/9720946 |
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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 |
work_keys_str_mv |
AT emrahdokur finslergeometryfortwoparameterweibulldistributionfunction AT salimceyhan finslergeometryfortwoparameterweibulldistributionfunction AT mehmetkurban finslergeometryfortwoparameterweibulldistributionfunction |
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1725489807951396864 |