2015•Siberian Advances in MathematicsRequires access

On complete convergence of moving average processes for NSD sequences

Mohammad Amini, Abolghassem Bozorgnia, Habib Naderi, Andrei Igorevich Volodin

Open publisher page 10 citations

Abstract

We study the complete convergence of moving-average processes based on an identically distributed doubly infinite sequence of negatively superadditive-dependent random variables. As a corollary, the Marcinkiewicz-Zygmund strong law of large numbers is obtained.

About this research paper

What this paper is about

We study the complete convergence of moving-average processes based on an identically distributed doubly infinite sequence of negatively superadditive-dependent random variables. As a corollary, the Marcinkiewicz-Zygmund strong law of large numbers is obtained.

Why it matters

OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

We study the complete convergence of moving-average processes based on an identically distributed doubly infinite sequence of negatively superadditive-dependent random variables. As a corollary, the Marcinkiewicz-Zygmund strong law of large numbers is obtained.

Key concepts: Corollary, Superadditivity, Mathematics, Independent and identically distributed random variables, Sequence (biology), Law of large numbers, Convergence (economics), Moving average

Related papers

Back to paper searchBrowse research topicsOriginal source
On complete convergence of moving average processes for NSD sequences — Research Paper | ScholarLens