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A Partition Theorem for a Randomly Selected Large Population

Rao, Arni S.R. Srinivasa (2021) A Partition Theorem for a Randomly Selected Large Population. Acta Biotheoretica. pp. 1-14. ISSN 0001-5342

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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.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Rao, Arni S.R. Srinivasaarni.rao2020@gmail.com
Keywords: Population partitions, stationary population and non-stationary populations
Depositing User: Prof. Arni Rao
Date Deposited: 19 Oct 2021 17:46
Last Modified: 19 Oct 2021 17:46
Item ID: 19714
Journal or Publication Title: Acta Biotheoretica
Publisher: Springer
Date: 18 October 2021
Page Range: pp. 1-14
ISSN: 0001-5342
URI: http://philsci-archive.pitt.edu/id/eprint/19714

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