1.) o.a.c.math.stat.distributions --> o.a.c.math.distributions
Gives this package a more "generic" position to hold more than just "stat" distributions.
2.) Like in my last emails concerning "Univariate" I would like to, (and have done so in my checkout successfully) Make the following Class changes:
interface o.a.c.m.stat.StoreUnivariate --> abstract class o.a.c.m.stat.DescriptiveStatistics
this actually becomes a factory class and uses Discovery to instantiate new instances of the following implementations
*default implementation* o.a.c.m.stat.StoreUnivariateImpl --> o.a.c.m.stat.univariate.StatisticsImpl
*alternate implementations* o.a.c.m.stat.UnivariateImpl --> o.a.c.m.stat.univariate.StorelessStatisticsImpl
o.a.c.m.stat.ListUnivariateImpl --> o.a.c.m.stat.univariate.ListStatisticsImpl
o.a.c.m.stat.BeanListUnivariateImpl --> o.a.c.m.stat.univariate.BeanListStatisticsImpl
The benefit of this is that the Alternate Implementations can all be instantiated from the o.a.c.m.stat.DescriptiveStatistics factories newInstance(...) methods. Thus alternate implementations of DescriptiveStatistics can be written as Service Providers and set in the environment/JVM configuration. We can now write SP's for other tools like Matlab, Mathematica, JLink, C++ libraries, R, Omegahat ... the list goes on and on...
Someday, I'd like to see this design extended for Bivariate Statistics and Regression Classes. Eventually for Random Number generation as well.
-Mark
-- Mark Diggory Software Developer Harvard MIT Data Center http://osprey.hmdc.harvard.edu
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