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Two-stage sequential Bayesian study design for species estimation

Guillera-Arroita, Gurutzeta, Ridout, Martin S., Morgan, Byron J. T. (2014) Two-stage sequential Bayesian study design for species estimation. Journal of Agricultural, Biological, and Environmental Statistics, 19 (2). pp. 278-291. ISSN 1085-7117. (doi:10.1007/s13253-014-0171-4) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:41242)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1007/s13253-014-0171-4

Abstract

A problem of interest for ecology and conservation is that of determining the best al-

by a species. Many species are difficult to detect and often remain undetected during

to be unbiased, detectability needs to be taken into account. In such studies there is a

site. This design problem has not been addressed to date with an explicit consideration

Bayesian design techniques and show how a simple two-stage design can significantly

survey effort between the two study stages, given a prior distribution for the parame-

how the results change when the sample size is small, considering second-order approx-

efficiency gain, we recommend following the sequential design approach for species

occupancy estimation. This article has supplementary material online.

Item Type: Article
DOI/Identification number: 10.1007/s13253-014-0171-4
Uncontrolled keywords: Binary data; Imperfect detection; Multistage; Optimal design; Pilot study; Second-order approximation.
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Q Science > QH Natural history > QH541 Ecology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: Byron Morgan
Date Deposited: 30 May 2014 13:05 UTC
Last Modified: 16 Feb 2021 12:53 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/41242 (The current URI for this page, for reference purposes)
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