2005Communication in Statistics- Theory and MethodsRequires access

A Characterization of Geometric Distribution Throughkth Weak Records

Anna Dembińska, Fernando López-Blázquez

Open publisher page 17 citations

Abstract

Let be the sequence of kth weak records from a distribution F having support on non negative integers. We show that is a constant almost surely (a.s.) iff the underlying distribution is geometric. We also prove that for n ≥ 1 and k ≥ 2 the property (a.s.) does not hold in the geometric case.

About this research paper

What this paper is about

Let be the sequence of kth weak records from a distribution F having support on non negative integers. We show that is a constant almost surely (a.s.) iff the underlying distribution is geometric. We also prove that for n ≥ 1 and k ≥ 2 the property (a.s.) does not hold in the geometric case.

Why it matters

OpenAlex reports 17 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

Let be the sequence of kth weak records from a distribution F having support on non negative integers. We show that is a constant almost surely (a.s.) iff the underlying distribution is geometric. We also prove that for n ≥ 1 and k ≥ 2 the property (a.s.) does not hold in the geometric case.

Key concepts: Characterization (materials science), Geometric distribution, Distribution (mathematics), Mathematics, Sequence (biology), Combinatorics, Property (philosophy), Geometric progression

Related papers

Back to paper searchBrowse research topicsOriginal source
A Characterization of Geometric Distribution Throughkth Weak Records — Research Paper | ScholarLens