β Scribed by M.E.J. Newman; R.G. Palmer
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract **Summary:** We describe an approach to use multipleβhistogram methods in combination with static, biased Monte Carlo simulations. To illustrate this, we computed the forceβextension curve of an athermal polymer from multiple histograms constructed in a series of static Rosenbluth Monte
For estimating the effects of a number of systematic errors on a data sample, one can generate Monte Carlo (MC) runs with systematic parameters varied and examine the change in the desired observed result. Two methods are often used. In the unisim method, 1 the systematic parameters are varied one a
In this paper, the conservative Monte Carlo error estimation methods and theory developed in Geyer (1992a, Statist. Sci. 7, 473-483) are extended from univariate to multivariate Markov chain applications. A small simulation study demonstrates the feasibility of the proposed estimators.