On Lin's Condition for Products of Random Variables With Singular Joint Distribution

Loading...
Publication Logo

Date

2020

Journal Title

Journal ISSN

Volume Title

Publisher

Wydawnictwo Uniwersytetu Wroclawskiego

Open Access Color

BRONZE

Green Open Access

No

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Average

Research Projects

Journal Issue

Abstract

Lin's condition is used to establish the moment determinacy/indeterminacy of absolutely continuous probability distributions. Recently, a number of papers related to Lin's condition for functions of random variables have appeared. In the present paper, this condition is studied for products of random variables with given densities in the case when their joint distribution is singular. It is proved, assuming that the densities of both random variables satisfy Lin's condition, that the density of their product may or may not satisfy this condition.

Description

Keywords

random variable, singular distribution, Lin's condition, random variable, Lin's condition, Moment problems, singular distribution, Probability distributions: general theory

Turkish CoHE Thesis Center URL

Fields of Science

Citation

WoS Q

Q4

Scopus Q

OpenCitations Logo
OpenCitations Citation Count
N/A

Source

Probability and Mathematical Statistics

Volume

40

Issue

1

Start Page

97

End Page

104

Collections

PlumX Metrics
Citations

Scopus : 1

SCOPUS™ Citations

1

checked on Feb 07, 2026

Web of Science™ Citations

1

checked on Feb 07, 2026

Page Views

1

checked on Feb 07, 2026

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
0.0

Sustainable Development Goals

SDG data is not available