Please use this identifier to cite or link to this item:
Title: Sequential estimation in line transect surveys
Authors: XiChen, S. 
Yip, P.S.F.
Zhou, Y.
Keywords: Bootstrap
Confidence interval
Kernel estimator
Parametric estimator
Stopping rule
Issue Date: 2002
Source: XiChen, S.,Yip, P.S.F.,Zhou, Y. (2002). Sequential estimation in line transect surveys. Biometrics 58 (2) : 263-269. ScholarBank@NUS Repository.
Abstract: This 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.
Source Title: Biometrics
ISSN: 0006341X
Appears in Collections:Staff Publications

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

Page view(s)

checked on Mar 9, 2018

Google ScholarTM


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