Some Notes for Two Generalized Trigonometric Families of Distributions

The paper deals with two general families of cumulative distribution functions based on arctangent function. We provide analysis of the error of the best one-sided Hausdorff approximation for some special cases of these families. We obtain precious estimates for the value of the Hausdorff distance t...

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Main Author: Maria T. Vasileva
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Axioms
Subjects:
Online Access:https://www.mdpi.com/2075-1680/11/4/149
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author Maria T. Vasileva
author_facet Maria T. Vasileva
author_sort Maria T. Vasileva
collection DOAJ
description The paper deals with two general families of cumulative distribution functions based on arctangent function. We provide analysis of the error of the best one-sided Hausdorff approximation for some special cases of these families. We obtain precious estimates for the value of the Hausdorff distance that can be used as an additional criterion in practice. Further, the family of recurrence generated adaptive functions is constructed and investigated. All new results are illustrated with suitable numerical experiments. Simple dynamic software modules show applicability of Hausdorff approximation.
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spelling doaj.art-6bf10235f0b540d2b8c485b806c4c0d92023-12-01T00:48:10ZengMDPI AGAxioms2075-16802022-03-0111414910.3390/axioms11040149Some Notes for Two Generalized Trigonometric Families of DistributionsMaria T. Vasileva0Faculty of Mathematics and Informatics, University of Plovdiv Paisii Hilendarski, 24 Tzar Asen, 4000 Plovdiv, BulgariaThe paper deals with two general families of cumulative distribution functions based on arctangent function. We provide analysis of the error of the best one-sided Hausdorff approximation for some special cases of these families. We obtain precious estimates for the value of the Hausdorff distance that can be used as an additional criterion in practice. Further, the family of recurrence generated adaptive functions is constructed and investigated. All new results are illustrated with suitable numerical experiments. Simple dynamic software modules show applicability of Hausdorff approximation.https://www.mdpi.com/2075-1680/11/4/149generated familytrigonometric distributionHausdorff distanceHeaviside step functionupper and lower boundsrecurrent family
spellingShingle Maria T. Vasileva
Some Notes for Two Generalized Trigonometric Families of Distributions
Axioms
generated family
trigonometric distribution
Hausdorff distance
Heaviside step function
upper and lower bounds
recurrent family
title Some Notes for Two Generalized Trigonometric Families of Distributions
title_full Some Notes for Two Generalized Trigonometric Families of Distributions
title_fullStr Some Notes for Two Generalized Trigonometric Families of Distributions
title_full_unstemmed Some Notes for Two Generalized Trigonometric Families of Distributions
title_short Some Notes for Two Generalized Trigonometric Families of Distributions
title_sort some notes for two generalized trigonometric families of distributions
topic generated family
trigonometric distribution
Hausdorff distance
Heaviside step function
upper and lower bounds
recurrent family
url https://www.mdpi.com/2075-1680/11/4/149
work_keys_str_mv AT mariatvasileva somenotesfortwogeneralizedtrigonometricfamiliesofdistributions