Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/105357
DC FieldValue
dc.titleSequential estimation in line transect surveys
dc.contributor.authorXiChen, S.
dc.contributor.authorYip, P.S.F.
dc.contributor.authorZhou, Y.
dc.date.accessioned2014-10-28T05:15:02Z
dc.date.available2014-10-28T05:15:02Z
dc.date.issued2002
dc.identifier.citationXiChen, S.,Yip, P.S.F.,Zhou, Y. (2002). Sequential estimation in line transect surveys. Biometrics 58 (2) : 263-269. ScholarBank@NUS Repository.
dc.identifier.issn0006341X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/105357
dc.description.abstractThis article considers using sequential procedures to determine the amount of survey effort required in a line transect survey in order to achieve a certain precision level in estimating the abundance of a biological population. Sequential procedures are constructed for both parametric and nonparametric animal abundance estimators. The criterion used to derive the stopping rules is the width of confidence intervals for the animal abundance. For each estimator considered, we develop stopping rules based on the asymptotic distributions and the bootstrap. A sequential analysis on an aerial survey of the southern bluefin tuna indicates substantial saving of survey effort can be made by employment of the proposed sequential procedures. This savings of survey effort is also observed in a simulation study designed to evaluate the empirical performance of the proposed sequential procedures.
dc.sourceScopus
dc.subjectBootstrap
dc.subjectConfidence interval
dc.subjectKernel estimator
dc.subjectParametric estimator
dc.subjectStopping rule
dc.typeArticle
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.description.sourcetitleBiometrics
dc.description.volume58
dc.description.issue2
dc.description.page263-269
dc.description.codenBIOMA
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Page view(s)

141
checked on Dec 8, 2022

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.