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In the Rosenbluth and Rosenbluth method of computing polymer configurations, th e configurations are weighted in order to remove bias of the estimated parameters of the configurations. This weighting method is investigated and generalized for importance sampling and Boltzmann factors. The estimates are found to be unbiased in the limit for an infinite sample of configurations, but to have a bias for a finit e sam pit'. The standard deviations of the estimates are also derived.doi:10.6028/jres.076b.014 fatcat:eqer5lgzarfb7kbulwohb2znle