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:	Creators Email ORCID Rao, Arni S.R. Srinivasa arni.rao2020@gmail.com
Additional Information:	(Forthcoming article in Acta Biotheoretica, Springer)
Keywords:	Population partitions, stationary population and non-stationary populations
Depositing User:	Prof. Arni Rao
Date Deposited:	24 Oct 2021 03:41
Last Modified:	24 Oct 2021 03:41
Item ID:	19732
Journal or Publication Title:	Acta Biotheoretica
Publisher:	Springer
Date:	18 October 2021
Page Range:	pp. 1-14
ISSN:	0001-5342
URI:	https://philsci-archive.pitt.edu/id/eprint/19732

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• A Partition Theorem for a Randomly Selected Large Population. (deposited 19 Oct 2021 17:46)
  • A Partition Theorem for a Randomly Selected Large Population. (deposited 24 Oct 2021 03:41) [Currently Displayed]

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