Monte Carlo techniques for prediction and filtering of non-linear stochastic processes
β Scribed by J.E. Handschin
- Publisher
- Elsevier Science
- Year
- 1970
- Tongue
- English
- Weight
- 753 KB
- Volume
- 6
- Category
- Article
- ISSN
- 0005-1098
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## Abstract By use of the pivot algorithm, starβbranched chains with __F__ = 3β12 arms of length __n, nF__ = 480, and linear chains (__F__ = 2) are generated on a tetrahedral lattice. In order to simulate different qualities of the solvent, specific shortβrange interactions are taken into account.
The statistic of interest in most health economic evaluations is the incremental cost-e!ectiveness ratio. Since the variance of a ratio estimator is intractable, the health economics literature has suggested a number of alternative approaches to estimating con"dence intervals for the cost-e!ectivene