> Hello > > I'm currently using Monte Carlo techniques to estimate prices (variable not static) > from the following type of data: > > << OLE Object: Microsoft Excel Worksheet >> > > > > Each row is a record from group A and the cells in all but the last column are the > volumes of 'widgets' in the record. The last column is the cost of all the widgets > in the record. Any widget can have a different prices in each record but the price > is assumed to be normally distributed with a starting price and deviation. > > The aim is to apply the estimated prices to eg an average record (in terms of > volumes of widgets per record) from group B and compare the cost of this average > record against the cost of an average record from group A. > > I've used a Monte Carlo approach to estimate confidence intervals but thought > another view could be obtained by using tree() to split the records into two > disparate groups and run these two groups separately through the Monte Carlo model. > > Is this feasible? > > thanks > > > > > > > > > > > > > >
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