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Publication Details

Title: Design unbiased estimation in line intersect sampling using segmented transects

Author: Affleck, David L.R.; Gregoire, Timothy G.; Valentine, Harry T.

Year: 2005

Publication: Environmental and Ecological Statistics. 12(1): 39-154.

Abstract: In many applications of line intersect sampling. transects consist of multiple, connected segments in a prescribed configuration. The relationship between the transect configuration and the selection probability of a population element is illustrated and a consistent sampling protocol, applicable to populations composed of arbitrarily shaped elements, is proposed. It is shown that this protocol obviates the arbitrary practice of treating multiple intersections of a single particle as independent probabilistic events and preserves the design-unbiasedness of Kaiser's (1983, Biornetrics 39, 965-976) conditional and unconditional estimators, suitably generalized to segmented transect designs. The relative efficiency and utility of segmented transect designs are also discussed from a fixed population perspective.

Last Modified: 3/31/2008


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