Publication Abstract

Title
Target Detection from a Classical and a Bayesian Viewpoint
Publication Abstract

Target Detection from a Classical and a Bayesian Viewpoint

M. Nicholson and J. Barry

Two approaches have been used for designing spatial surveys to detect a target. The classical approach controls the probability of missing a target that exists; a Bayesian approach controls the probability that a target exists given that none was seen. In both cases, information about the likely size of the target can reduce sampling requirements. In this paper, previous results are summarized and then used to assess the risk that Roman remains could be present at sites scheduled for development in Greater London.

Reference:

M. Nicholson and J. Barry (2005) Target Detection from a Classical and a Bayesian Viewpoint. Journal of Applied Statistics, 32(5) 1-8.

Publication Internet Address of the Data
Publication Authors
M. Nicholson* and J. Barry*
Publication Date
June 2005
Publication Reference
Journal of Applied Statistics, 32(5): 1-8
Publication DOI: https://doi.org/