Geometrical interpretation of the population entropy maximum

IF 0.5 4区数学 Q4 STATISTICS & PROBABILITY

Stochastic Models Pub Date : 2024-02-02 DOI:10.1080/15326349.2023.2297959

Igor Lazov, Petar Lazov

引用次数: 0

Abstract

We consider a population of finite size M, where the current number N of entities, N∈{0,1,2,…,M}, determines its states. We geometrically analyze the amounts of information iN and iM−N, carried by ...

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种群熵最大值的几何解释

我们考虑一个有限大小为 M 的群体，当前实体的数量 N（N∈{0,1,2,...,M}）决定了它的状态。我们从几何学角度分析了 N 和 iM-N 所携带的信息量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Stochastic Models 数学-统计学与概率论

CiteScore

1.30

自引率

14.30%

发文量

审稿时长

>12 weeks

期刊介绍： Stochastic Models publishes papers discussing the theory and applications of probability as they arise in the modeling of phenomena in the natural sciences, social sciences and technology. It presents novel contributions to mathematical theory, using structural, analytical, algorithmic or experimental approaches. In an interdisciplinary context, it discusses practical applications of stochastic models to diverse areas such as biology, computer science, telecommunications modeling, inventories and dams, reliability, storage, queueing theory, mathematical finance and operations research.