The Calculation of the Density and Distribution Functions of Strictly Stable Laws

Integral representations for the probability density and distribution function of a strictly stable law with the characteristic function in the Zolotarev’s “C” parametrization were obtained in the paper. The obtained integral representations express the probability density and distribution function...

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Main Author: Viacheslav Saenko
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/8/5/775
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author Viacheslav Saenko
author_facet Viacheslav Saenko
author_sort Viacheslav Saenko
collection DOAJ
description Integral representations for the probability density and distribution function of a strictly stable law with the characteristic function in the Zolotarev’s “C” parametrization were obtained in the paper. The obtained integral representations express the probability density and distribution function of standard strictly stable laws through a definite integral. Using the methods of numerical integration, the obtained integral representations allow us to calculate the probability density and distribution function of a strictly stable law for a wide range of admissible values of parameters <inline-formula> <math display="inline"> <semantics> <mrow> <mo>(</mo> <mi>α</mi> <mo>,</mo> <mi>θ</mi> <mo>)</mo> </mrow> </semantics> </math> </inline-formula>. A number of cases were given when numerical algorithms had difficulty in calculating the density. Formulas were given to calculate the density and distribution function with an arbitrary value of the scale parameter <inline-formula> <math display="inline"> <semantics> <mi>λ</mi> </semantics> </math> </inline-formula>.
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spelling doaj.art-83f0cc71e70a4bd1b2539f2226ad41222023-11-20T00:09:03ZengMDPI AGMathematics2227-73902020-05-018577510.3390/math8050775The Calculation of the Density and Distribution Functions of Strictly Stable LawsViacheslav Saenko0Department of Theoretical Physics, Ulyanovsk State University, 432970 Ulyanovsk, RussiaIntegral representations for the probability density and distribution function of a strictly stable law with the characteristic function in the Zolotarev’s “C” parametrization were obtained in the paper. The obtained integral representations express the probability density and distribution function of standard strictly stable laws through a definite integral. Using the methods of numerical integration, the obtained integral representations allow us to calculate the probability density and distribution function of a strictly stable law for a wide range of admissible values of parameters <inline-formula> <math display="inline"> <semantics> <mrow> <mo>(</mo> <mi>α</mi> <mo>,</mo> <mi>θ</mi> <mo>)</mo> </mrow> </semantics> </math> </inline-formula>. A number of cases were given when numerical algorithms had difficulty in calculating the density. Formulas were given to calculate the density and distribution function with an arbitrary value of the scale parameter <inline-formula> <math display="inline"> <semantics> <mi>λ</mi> </semantics> </math> </inline-formula>.https://www.mdpi.com/2227-7390/8/5/775stable distributionprobability density functiondistribution function
spellingShingle Viacheslav Saenko
The Calculation of the Density and Distribution Functions of Strictly Stable Laws
Mathematics
stable distribution
probability density function
distribution function
title The Calculation of the Density and Distribution Functions of Strictly Stable Laws
title_full The Calculation of the Density and Distribution Functions of Strictly Stable Laws
title_fullStr The Calculation of the Density and Distribution Functions of Strictly Stable Laws
title_full_unstemmed The Calculation of the Density and Distribution Functions of Strictly Stable Laws
title_short The Calculation of the Density and Distribution Functions of Strictly Stable Laws
title_sort calculation of the density and distribution functions of strictly stable laws
topic stable distribution
probability density function
distribution function
url https://www.mdpi.com/2227-7390/8/5/775
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