Certain mathematical formulas for moments of Geometric distribution by means of the Apostol-Bernoulli polynomials

Even though the first and second order moments of Geometric distribution are easy to compute, the higher order moments of this distribution are very complicated to derive and calculate. There is an immense need for statisticians to calculate these moments manually or programmatically using statistical softwares. The aim of this paper is to identify certain mathematical formulas. For derivation of the moments, factorial moments, and moment generating function of Geometric distribution, we apply the generating functions for the Apostol-Bernoulli number and polynomials. These newly derived moment formulas are linked to Stirling numbers and other special functions. In addition, when we apply the z-transform to the probability distribution of Geometric distribution, we obtain some new computational formulas that can help calculating the higher order factorial moments of Geometric distribution. These new formulas give alternative way of calculating them without dealing with the cumbersome derivations moments and moment generating function of this distribution.

Authors

Institutions

Publication Details

Journal
Filomat
Published
2025-01-01
DOI
https://doi.org/10.2298/fil2506843s
Citations
2
Primary Topic
Mathematical Inequalities and Applications
Type
article
Field-Weighted Citation Impact
7.45
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Certain mathematical formulas for moments of Geometric distribution by means of the Apostol-Bernoulli polynomials

Buket Şimşek
2 citations
Filomat
Mathematical Inequalities and Applications
7.45
article

Certain mathematical formulas for moments of Geometric distribution by means of the Apostol-Bernoulli polynomials

Buket Şimşek
article en
2 citations

Abstract

Even though the first and second order moments of Geometric distribution are easy to compute, the higher order moments of this distribution are very complicated to derive and calculate. There is an immense need for statisticians to calculate these moments manually or programmatically using statistical softwares. The aim of this paper is to identify certain mathematical formulas. For derivation of the moments, factorial moments, and moment generating function of Geometric distribution, we apply the generating functions for the Apostol-Bernoulli number and polynomials. These newly derived moment formulas are linked to Stirling numbers and other special functions. In addition, when we apply the z-transform to the probability distribution of Geometric distribution, we obtain some new computational formulas that can help calculating the higher order factorial moments of Geometric distribution. These new formulas give alternative way of calculating them without dealing with the cumbersome derivations moments and moment generating function of this distribution.

FilomatVol. 39(6)
Akdeniz University (TR)
Openalex Percentile: Top 3%
Mathematical Inequalities and Applications
7.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.