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

Klass, Michael Jay and Nowicki, Krzysztof LU (2016) In Working Papers in Statistics
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.
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author
organization
publishing date
type
Working Paper
publication status
published
subject
keywords
Unobserved species, estimation of population size, sequential estimation procedure, error probability
in
Working Papers in Statistics
issue
2016:1
pages
15 pages
publisher
Department of Statistics, Lund university
language
English
LU publication?
yes
id
d02dae25-6ec2-4d79-b21d-c8a44a0f935b
date added to LUP
2016-09-21 13:06:27
date last changed
2016-11-02 11:34:55
@misc{d02dae25-6ec2-4d79-b21d-c8a44a0f935b,
  abstract     = {Let N be the number of classes in a population to be estimated. Fix any preassigned error probability 0&lt;epsilon&lt; 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.},
  author       = {Klass, Michael Jay  and Nowicki, Krzysztof},
  keyword      = {Unobserved species,estimation of population size,sequential estimation procedure,error probability},
  language     = {eng},
  number       = {2016:1},
  pages        = {15},
  publisher    = {ARRAY(0xb43aaf0)},
  series       = {Working Papers in Statistics},
  title        = {Sequential Search Algorithm for Estimation of the Number of Classes in a Given Population},
  year         = {2016},
}