1995•Lithuanian Mathematical JournalRequires access

On the convergence in the law of sums and maxima of independent random variables with random parameters

A. N. Chuprunov

Open publisher page 0 citations

Abstract

This record does not include an abstract. Use the full-text link above if available.

About this research paper

What this paper is about

An abstract is not available in the OpenAlex record for this paper.

Why it matters

A significance statement is not available in the OpenAlex record.

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.

Key concepts: Independent and identically distributed random variables, Mathematics, Convergence of random variables, Maxima, Sum of normally distributed random variables, Random variable, Central limit theorem, Weak convergence

Back to paper search Browse research topics Original source

On the convergence in the law of sums and maxima of independent random variables with random parameters — Research Paper | ScholarLens