Hello Phil Steitz wrote:
> Thinking about how this will eventually work, it has occurred to me that > EmpiricalDistribution could be used to digest / represent bootstrap > distributions. Since we want the interface for EmpiricalDistribution to > be complete for 1.0, we need to make sure that bootstrap data can be > loaded into EmpiricalDistribution conveniently (if this makes sense), so I > have been thinking about adding load() methods to EmpiricalDistribution > that take double[] arrays and streams as values, as well as an addValue() > method. Does this make sense? I would also appreciate any comments / > patches on how to improve the EmpiricalDistribution interface or > EmpiricalDistributionImpl. If refactoring or even holding this from the > release are in order, I want to make sure that we do it. As I understand load(double[][]) would compute Empirical Distribution Function for every bootstraped sample (provided from some other source). Then, instead of having SummaryStatistics sampleStats we should provide SummaryStatistics[] sampleStats where this array would contain SummaryStatistics calculated for every sample. SummaryStatistics getSampleStats() would be changed as well. Similarly other methods/objects in EmpiricalDistribution would have to be modified (e.g. binStats would have to be an array of ArrayLists, etc.). Do I get your intentions right? The zeroth row of every matrix could be reserved for original sample and the rest for bootstrapped results (if they can be calculated, i.e. samples are given). This can be achieved but some effort has to be made to make it simple to use for those, who does not care about bootstrap and want to get results based only on the original sample. The other thing is that such an extension would be very usefull as long as we play with such bootstrap algorithms, which use those statistics which are memebers of SummaryStatistics. Often this is not the case (classic example is Median or Trimmed Mean, which is not among SummaryStatistics). Sometimes it is also necessary (or more comfortable) to operate on the raw bootstrap samples, not EDF calculated from those samples. In this two cases bootstrap embeded into EmpiricalDistribution would not be that useful. Two comments concerning EmpiricalDistribution 1. Probably it would be nice to have load(double[]) method 2. Instead of ArrayList getBinStats(); there could be List getBinStats(); although I can't imagine practical situation, where other List then ArrayList would be better. Piotr --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
