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Sequential Search Algorithm for Estimation of the Number of Classes in a Given Population

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Author

Summary, in English

Let N be the number of classes in a population to be estimated. Fix any preassigned error probability 0<epsilon< exp(-2) (roughly). We present a sequential search algorithm to estimate the exact value of N, with an error probability of at most epsilon, regardless of the value of N.

Publishing year

2016

Language

English

Publication/Series

Working Papers in Statistics

Issue

2016:1

Document type

Working paper

Publisher

Department of Statistics, Lund university

Topic

  • Probability Theory and Statistics

Keywords

  • Unobserved species
  • estimation of population size
  • sequential estimation procedure
  • error probability

Status

Published