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

Michael Jay Klass, Krzysztof Nowicki

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.


Keywords


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

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