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A Partition Theorem for a Randomly Selected Large Population

A Partition Theorem for a Randomly Selected Large Population A theorem on the partitioning of a randomly selected large population into stationary and non-stationary components by using a property of the stationary population identity is stated and proved. The methods of partitioning demonstrated are original and these are helpful in real-world situations where age-wise data is available. Applications of this theorem for practical purposes are summarized at the end. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Biotheoretica Springer Journals

A Partition Theorem for a Randomly Selected Large Population

Acta Biotheoretica , Volume 70 (1) – Mar 1, 2022

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Publisher
Springer Journals
Copyright
Copyright © Springer Nature B.V. 2021
ISSN
0001-5342
eISSN
1572-8358
DOI
10.1007/s10441-021-09433-z
Publisher site
See Article on Publisher Site

Abstract

A theorem on the partitioning of a randomly selected large population into stationary and non-stationary components by using a property of the stationary population identity is stated and proved. The methods of partitioning demonstrated are original and these are helpful in real-world situations where age-wise data is available. Applications of this theorem for practical purposes are summarized at the end.

Journal

Acta BiotheoreticaSpringer Journals

Published: Mar 1, 2022

Keywords: Population partitions; Stationary population and Non-stationary populations; 92D25

References