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

  • Michael Jay Klass Department of Statistics and Mathematics University of California, Berkeley Berkeley, CA 94720-3860
  • Krzysztof Nowicki Department of Statistics School of Economics and Management Lund University Box 743, SE-22007 Lund, Sweden
Keywords: Unobserved species, estimation of population size, sequential estimation procedure, error probability

Abstract

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.

Published
2016-01-07
Issue
Section
Working Papers in Statistics