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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Main Authors: Orhan KESEMEN, Buğra Kaan TİRYAKİ
Format: Article
Language:English
Published: Suleyman Demirel University 2018-05-01
Series:Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Subjects:
Online Access:http://dergipark.ulakbim.gov.tr/sdufenbed/article/view/5000213003
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spelling 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
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AT bugrakaantiryaki nonuniformrandomnumbergenerationfromarbitrarybivariatedistributioninpolygonalarea
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