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Comparison of statistical graph-size estimators
Authors:Michael Capobianco  Ove Frank
Institution:Department of Mathematics, St. John''s University, Staten Island, NY 10301, USA;Department of Statistics, University of Lund, S-22007 Lund, Sweden
Abstract:We investigate several unbiased estimators of the size of a graph G which are based on sampled induced subgraphs, stars and dyads. By comparing their variances we find some general dominance relations between them, and we also give some conditions on G which guarantee some other instances of dominance.
Keywords:62D05  05C99  Graph inference  Network sampling
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