Sequential Search Algorithm for Estimation of the Number of Classes in a Given Population
(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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http://lup.lub.lu.se/record/d02dae25-6ec2-4d79-b21d-c8a44a0f935b
- author
- Klass, Michael Jay and Nowicki, Krzysztof ^{LU}
- organization
- publishing date
- 2016
- 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<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.}, 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}, }