A Partition Theorem for a Randomly Selected Large Population

Research output: Contribution to journalArticlepeer-review

2 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 languageEnglish (US)
Article number6
JournalActa Biotheoretica
Volume70
Issue number1
DOIs
StatePublished - Mar 2022

Keywords

  • Population partitions
  • Stationary population and Non-stationary populations

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology
  • General Environmental Science
  • Philosophy
  • General Agricultural and Biological Sciences
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'A Partition Theorem for a Randomly Selected Large Population'. Together they form a unique fingerprint.

Cite this