Sequential search algorithm for estimation of the number of members of a given population

Research output: Contribution to journalArticle

Abstract

Let N be the number of members in a population. Fix any real number A≥2. We present a sequential search algorithm to estimate the exact value of N, with an error probability of at most exp(−A)+exp(−2A)+exp(−3A), regardless of the value of N.

Details

Authors
Organisations
External organisations
  • University of California, Berkeley
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Probability Theory and Statistics

Keywords

  • Error probability, Estimation of population size, Sequential estimation procedure, Unobserved species
Original languageEnglish
Pages (from-to)101-108
Number of pages8
JournalStatistics and Probability Letters
Volume121
Publication statusPublished - 2017 Feb 1
Publication categoryResearch
Peer-reviewedYes