Recurrence Relation for The Moments of Order Statistics from The Beta Exponential-Geometric Distribution

In this paper, a novel cumulative distribution function (cdf) for beta exponential-geometric (BEG) distribution, through two distinct practical frames, is developed. However, the presented models are obviously more pragmatic than the ones being demonstrated in previous works, in the case of extending further relations. Then, using the exhibited cdfs, certain recurrence relations for the single and product moments of the order statistics of a random sample of size n arising from BEG distribution are derived.

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Publication Details

Journal
Statistics Optimization & Information Computing
Published
2025-10-13
DOI
https://doi.org/10.19139/soic-2310-5070-2673
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

Recurrence Relation for The Moments of Order Statistics from The Beta Exponential-Geometric Distribution

Statistics Optimization & Information Computing
Statistical Distribution Estimation and Applications
article

Recurrence Relation for The Moments of Order Statistics from The Beta Exponential-Geometric Distribution

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Abstract

In this paper, a novel cumulative distribution function (cdf) for beta exponential-geometric (BEG) distribution, through two distinct practical frames, is developed. However, the presented models are obviously more pragmatic than the ones being demonstrated in previous works, in the case of extending further relations. Then, using the exhibited cdfs, certain recurrence relations for the single and product moments of the order statistics of a random sample of size n arising from BEG distribution are derived.

Statistics Optimization & Information ComputingVol. 15(1)
University of Tabriz (IR)
Openalex Percentile: Top 28%
Statistical Distribution Estimation and Applications
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Recurrence Relation for The Moments of Order Statistics from The Beta Exponential-Geometric Distribution · Statistics Optimization & Information Computing (2025) | TGRS Research Map | TGRS