Non-Uniform Random Number Generation from Arbitrary Bivariate Distribution in Polygonal Area
Bivariate non-uniform random numbers are usually generated in a rectangular area. However, this is generally not useful in practice because the arbitrary area in real-life is not always a rectangular area. Therefore, the arbitrary area in real-life can be defined as a polygonal approach. Non-uniform...
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Suleyman Demirel University
2018-05-01
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Online Access: | http://dergipark.ulakbim.gov.tr/sdufenbed/article/view/5000213003 |
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doaj-890b4b9e223f4dd89473cf3e6e2720342020-11-24T21:40:44ZengSuleyman Demirel UniversitySüleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi1308-65292018-05-0122244345710.19113/sdufbed.702905000175987Non-Uniform Random Number Generation from Arbitrary Bivariate Distribution in Polygonal AreaOrhan KESEMEN0Buğra Kaan TİRYAKİ1Karadeniz Teknik Üniversitesi, Fen Fakültesi, İstatistik ve Bilgisayar Bilimleri BölümüKaradeniz Teknik Üniversitesi, Fen Fakültesi, İstatistik ve Bilgisayar Bilimleri BölümüBivariate non-uniform random numbers are usually generated in a rectangular area. However, this is generally not useful in practice because the arbitrary area in real-life is not always a rectangular area. Therefore, the arbitrary area in real-life can be defined as a polygonal approach. Non-uniform random numbers are generated from an arbitrary bivariate distribution within a polygonal area by using the rejection and the inversion methods. Three examples are given for non-uniform random number generation from an arbitrary bivariate distribution function in polygonal areas. In these examples, the non-uniform random number generation is discussed in the triangular area, the Korea mainland and the Australia mainland. The non-uniform random numbers are generated in these areas from the arbitrary probability density function. The observed frequency values are calculated with using both methods in the simulation study and the generated random numbers are tested with the chi-square goodness of fit test to determine whether or not they come from the given distribution. Also, both methods are compared each other with a simulation study.http://dergipark.ulakbim.gov.tr/sdufenbed/article/view/5000213003Bivariate distribution functionPiecewise probability density functionNon-uniform random number generationRejection methodInversion method |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Orhan KESEMEN Buğra Kaan TİRYAKİ |
spellingShingle |
Orhan KESEMEN Buğra Kaan TİRYAKİ Non-Uniform Random Number Generation from Arbitrary Bivariate Distribution in Polygonal Area Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi Bivariate distribution function Piecewise probability density function Non-uniform random number generation Rejection method Inversion method |
author_facet |
Orhan KESEMEN Buğra Kaan TİRYAKİ |
author_sort |
Orhan KESEMEN |
title |
Non-Uniform Random Number Generation from Arbitrary Bivariate Distribution in Polygonal Area |
title_short |
Non-Uniform Random Number Generation from Arbitrary Bivariate Distribution in Polygonal Area |
title_full |
Non-Uniform Random Number Generation from Arbitrary Bivariate Distribution in Polygonal Area |
title_fullStr |
Non-Uniform Random Number Generation from Arbitrary Bivariate Distribution in Polygonal Area |
title_full_unstemmed |
Non-Uniform Random Number Generation from Arbitrary Bivariate Distribution in Polygonal Area |
title_sort |
non-uniform random number generation from arbitrary bivariate distribution in polygonal area |
publisher |
Suleyman Demirel University |
series |
Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
issn |
1308-6529 |
publishDate |
2018-05-01 |
description |
Bivariate non-uniform random numbers are usually generated in a rectangular area. However, this is generally not useful in practice because the arbitrary area in real-life is not always a rectangular area. Therefore, the arbitrary area in real-life can be defined as a polygonal approach. Non-uniform random numbers are generated from an arbitrary bivariate distribution within a polygonal area by using the rejection and the inversion methods. Three examples are given for non-uniform random number generation from an arbitrary bivariate distribution function in polygonal areas. In these examples, the non-uniform random number generation is discussed in the triangular area, the Korea mainland and the Australia mainland. The non-uniform random numbers are generated in these areas from the arbitrary probability density function. The observed frequency values are calculated with using both methods in the simulation study and the generated random numbers are tested with the chi-square goodness of fit test to determine whether or not they come from the given distribution. Also, both methods are compared each other with a simulation study. |
topic |
Bivariate distribution function Piecewise probability density function Non-uniform random number generation Rejection method Inversion method |
url |
http://dergipark.ulakbim.gov.tr/sdufenbed/article/view/5000213003 |
work_keys_str_mv |
AT orhankesemen nonuniformrandomnumbergenerationfromarbitrarybivariatedistributioninpolygonalarea AT bugrakaantiryaki nonuniformrandomnumbergenerationfromarbitrarybivariatedistributioninpolygonalarea |
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1725924837972508672 |