A Partition Theorem for a Randomly Selected Large Population

Arni S.R.Srinivasa Rao

doi:10.1007/s10441-021-09433-z

A Partition Theorem for a Randomly Selected Large Population

Arni S.R.Srinivasa Rao

Epidemiology

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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.

Original language	English (US)
Article number	6
Journal	Acta Biotheoretica
Volume	70
Issue number	1
DOIs	https://doi.org/10.1007/s10441-021-09433-z
State	Published - Mar 2022

Keywords

Population partitions
Stationary population and Non-stationary populations

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Environmental Science(all)
Philosophy
Agricultural and Biological Sciences(all)
Applied Mathematics

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10.1007/s10441-021-09433-z

Cite this

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N2 - 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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A Partition Theorem for a Randomly Selected Large Population

Abstract

Keywords

ASJC Scopus subject areas

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