十四个(2021-2022)拟议离散分布的特征

IF 1.1 Q3 STATISTICS & PROBABILITY
G. Hamedani, A. Roshani
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引用次数: 0

摘要

正如我们在之前的工作中提到的,有时在现实生活中,从连续分布中获得样本是非常困难的。观测值通常是离散的,因为它们不是连续测量的。在某些情况下,有可能通过连续尺度来测量观测值,然而,它们可能以一种离散模型似乎更合适的方式记录。因此,离散模型在应用领域中出现的频率很高,并引起了许多研究者的关注。分布的表征对许多应用领域的研究人员来说是很重要的。研究者非常想知道他们的模型是否符合特定分布的要求。为了达到这个目的,人们将依赖于这个分布的特征,这些特征提供了一些条件,在这些条件下,潜在的分布确实是那个特定的分布。在这里,我们给出了最近引入的14个离散分布的某些特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizations of Fourteen (2021-2022) Proposed Discrete Distributions
As we mentioned in our previous works, sometimes in real life cases, it is very difficult to obtain samples from a continuous distribution. The observed values are generally discrete due to the fact that they are not measured in continuum. In some cases, it may be possible to measure the observations via a continuous scale, however, they may be recorded in a manner in which a discrete model seems more suitable. Consequently, the discrete models are appearing quite frequently in applied fields and have attracted the attention of many researchers. Characterizations of distributions are important to many researchers in the applied fields. An investigator will be vitally interested to know if their model fits the requirements of a particular distribution. To this end, one will depend on the characterizations of this distribution which provide conditions under which the underlying distribution is indeed that particular distribution. Here, we present certain characterizations of 14 recently introduced discrete distributions.
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来源期刊
CiteScore
3.30
自引率
26.70%
发文量
53
期刊介绍: Pakistan Journal of Statistics and Operation Research. PJSOR is a peer-reviewed journal, published four times a year. PJSOR publishes refereed research articles and studies that describe the latest research and developments in the area of statistics, operation research and actuarial statistics.
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