Abstract Bipartite incidence graph sampling provides a unified representation of many situations for the purpose estimation, including existing unconventional methods, such as indirect, network or adaptive cluster sampling, which are not originally described problems. We develop large class design-based linear estimators, defined sample edges and subjected to general condition design unbiasedne...