Weighted multimodal family of distributions with sine and cosine weight functions

In this paper, the moment of various types of sine and cosine functions are derived for any random variable. For an arbitrary even probability density function, the sine and cosine moments are used to define new families of univariate multimodal probability density and their corresponding characteri...

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Main Authors: Ayman Alzaatreh, Jaber Kazempoor, Adel Ahmadi Nadi
Format: Article
Language:English
Published: Elsevier 2020-08-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844020316005
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author Ayman Alzaatreh
Jaber Kazempoor
Adel Ahmadi Nadi
author_facet Ayman Alzaatreh
Jaber Kazempoor
Adel Ahmadi Nadi
author_sort Ayman Alzaatreh
collection DOAJ
description In this paper, the moment of various types of sine and cosine functions are derived for any random variable. For an arbitrary even probability density function, the sine and cosine moments are used to define new families of univariate multimodal probability density and their corresponding characteristic functions. For illustration, two weighted multimodal generalizations of the t distribution are investigated. Furthermore, a method of calculating some interesting improper integrals is also presented. Finally, an explicit expression of the probability density function of the sum of independent t-distributed random variables with odd degrees of freedom is derived.
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spelling doaj.art-f068420075454e61a89cf853a1c1f0372022-12-22T02:25:21ZengElsevierHeliyon2405-84402020-08-0168e04757Weighted multimodal family of distributions with sine and cosine weight functionsAyman Alzaatreh0Jaber Kazempoor1Adel Ahmadi Nadi2Department of Mathematics and Statistics, American University of Sharjah, Sharjah, United Arab Emirates; Corresponding author.Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Islamic Republic of IranDepartment of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Islamic Republic of IranIn this paper, the moment of various types of sine and cosine functions are derived for any random variable. For an arbitrary even probability density function, the sine and cosine moments are used to define new families of univariate multimodal probability density and their corresponding characteristic functions. For illustration, two weighted multimodal generalizations of the t distribution are investigated. Furthermore, a method of calculating some interesting improper integrals is also presented. Finally, an explicit expression of the probability density function of the sum of independent t-distributed random variables with odd degrees of freedom is derived.http://www.sciencedirect.com/science/article/pii/S2405844020316005MathematicsMomentsCharacteristic functionEven probability density functionParseval's identity
spellingShingle Ayman Alzaatreh
Jaber Kazempoor
Adel Ahmadi Nadi
Weighted multimodal family of distributions with sine and cosine weight functions
Heliyon
Mathematics
Moments
Characteristic function
Even probability density function
Parseval's identity
title Weighted multimodal family of distributions with sine and cosine weight functions
title_full Weighted multimodal family of distributions with sine and cosine weight functions
title_fullStr Weighted multimodal family of distributions with sine and cosine weight functions
title_full_unstemmed Weighted multimodal family of distributions with sine and cosine weight functions
title_short Weighted multimodal family of distributions with sine and cosine weight functions
title_sort weighted multimodal family of distributions with sine and cosine weight functions
topic Mathematics
Moments
Characteristic function
Even probability density function
Parseval's identity
url http://www.sciencedirect.com/science/article/pii/S2405844020316005
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