REMARKS ON THE FORMULA FOR THE MOMENTS OF THE PÓLYA PROBABILITY DISTRIBUTION

ABSTRACT        The probability distribution of a random variable can be characterized by some numbers called parameters of the distribution. The moments belong to the most frequently used parameters. We focus on the Pólya distribution because it is easy to obtain from it as special cases some very...

Full description

Bibliographic Details
Main Author: Tadeusz Gerstenkorn
Format: Article
Language:English
Published: Lodz University Press 2015-08-01
Series:Acta Universitatis Lodziensis. Folia Oeconomica
Subjects:
Online Access:https://czasopisma.uni.lodz.pl/foe/article/view/581
_version_ 1819051010127036416
author Tadeusz Gerstenkorn
author_facet Tadeusz Gerstenkorn
author_sort Tadeusz Gerstenkorn
collection DOAJ
description ABSTRACT        The probability distribution of a random variable can be characterized by some numbers called parameters of the distribution. The moments belong to the most frequently used parameters. We focus on the Pólya distribution because it is easy to obtain from it as special cases some very important in the statistics distributions, as binomial, negative binomial and Poisson (the last one in the limit procedure).             In 1972 G. Mühlbach gave very interesting formulae for the moments of the Pólya distribution. The author did not investigate  the evaluation of the numerical efficacy of the formula for the moments. We will  show that it is possible to demonstrate this formula in a simpler form, which  has a practical significance and importance.
first_indexed 2024-12-21T11:57:08Z
format Article
id doaj.art-109d602bf644433bab135be410a8cc2b
institution Directory Open Access Journal
issn 0208-6018
2353-7663
language English
last_indexed 2024-12-21T11:57:08Z
publishDate 2015-08-01
publisher Lodz University Press
record_format Article
series Acta Universitatis Lodziensis. Folia Oeconomica
spelling doaj.art-109d602bf644433bab135be410a8cc2b2022-12-21T19:04:54ZengLodz University PressActa Universitatis Lodziensis. Folia Oeconomica0208-60182353-76632015-08-013314256REMARKS ON THE FORMULA FOR THE MOMENTS OF THE PÓLYA PROBABILITY DISTRIBUTIONTadeusz Gerstenkorn0Professor Emeritus, University of Łódź,ABSTRACT        The probability distribution of a random variable can be characterized by some numbers called parameters of the distribution. The moments belong to the most frequently used parameters. We focus on the Pólya distribution because it is easy to obtain from it as special cases some very important in the statistics distributions, as binomial, negative binomial and Poisson (the last one in the limit procedure).             In 1972 G. Mühlbach gave very interesting formulae for the moments of the Pólya distribution. The author did not investigate  the evaluation of the numerical efficacy of the formula for the moments. We will  show that it is possible to demonstrate this formula in a simpler form, which  has a practical significance and importance.https://czasopisma.uni.lodz.pl/foe/article/view/581moments of the probability distribution, Pólya probability distribution
spellingShingle Tadeusz Gerstenkorn
REMARKS ON THE FORMULA FOR THE MOMENTS OF THE PÓLYA PROBABILITY DISTRIBUTION
Acta Universitatis Lodziensis. Folia Oeconomica
moments of the probability distribution, Pólya probability distribution
title REMARKS ON THE FORMULA FOR THE MOMENTS OF THE PÓLYA PROBABILITY DISTRIBUTION
title_full REMARKS ON THE FORMULA FOR THE MOMENTS OF THE PÓLYA PROBABILITY DISTRIBUTION
title_fullStr REMARKS ON THE FORMULA FOR THE MOMENTS OF THE PÓLYA PROBABILITY DISTRIBUTION
title_full_unstemmed REMARKS ON THE FORMULA FOR THE MOMENTS OF THE PÓLYA PROBABILITY DISTRIBUTION
title_short REMARKS ON THE FORMULA FOR THE MOMENTS OF THE PÓLYA PROBABILITY DISTRIBUTION
title_sort remarks on the formula for the moments of the polya probability distribution
topic moments of the probability distribution, Pólya probability distribution
url https://czasopisma.uni.lodz.pl/foe/article/view/581
work_keys_str_mv AT tadeuszgerstenkorn remarksontheformulaforthemomentsofthepolyaprobabilitydistribution