导致分散不足的一些机制:新旧建议

Pub Date : 2023-08-07 DOI:10.1111/sjos.12677
P. Puig, J. Valero, Amanda Fernández-Fontelo
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引用次数: 0

摘要

在统计建模中,了解导致分散不足的机制是很重要的。从新的角度重新审视了导致计数分布不足的几种机制,并引入了新的机制。这包括基于到达流程中到达人数的流程,如更新和纯出生流程,以及出生-死亡流程的稳态分布,如服务费率依赖于状态的队列。加权泊松和其他众所周知的欠分散分布也与出生-死亡过程有关。经典和可变二项细化机制也被视为产生欠分散分布的重要过程,这也可以产生负相关的二元计数分布。给出了一些应用实例,其中一个与生物剂量测定有关。这篇文章受版权保护。版权所有。
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Some mechanisms leading to underdispersion: old and new proposals
In statistical modelling, it is important to know the mechanisms that cause underdispersion. Several mechanisms that lead to underdispersed count distributions are revisited from new perspectives, and new ones are introduced. These include procedures based on the number of arrivals in arrival processes, such as renewal and pure birth processes and steady‐state distributions of birth‐death processes, like queues with state‐dependent service rates. Weighted Poisson and other well‐known underdispersed distributions are also related to birth‐death processes. Classical and variable binomial thinning mechanisms are also viewed as important procedures for generating underdispersed distributions, which can also generate bivariate count distributions with negative correlation. Some example applications are shown, one of which is related to Biodosimetry.This article is protected by copyright. All rights reserved.
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