Estimation Under Biased Sampling from a Finite Population
29 November 1989
A common problem encountered in the analysis of discovery data is the size-bias phenomenon in which the larger units tend to be discovered first. One approach to account for this bias is to model the discovery process as sampling successively from a finite population without replacement and with probability proportional to size. Unlike the ppswor scheme in survey sampling, the size measure here is a function of the unknown population values.