THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
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- Add remedian statistic - The Remedian: a Robust Averaging method for Large Data Sets
- Add ability to compute the density of normal distribution and other well behaved distributions (done for some distributions https://issues.apache.org/jira/browse/MATH-222)
- Add ability to sample from some of the common distributions such as normal, gamma, beta and so on.
- Add Dirichlet, Multinomial distributions
- Add additional alternative pseudo-random number generators (PRNGs)
- Investigate alternative methods for generating values from discrete distributions http://www.jstatsoft.org/v11/i03/
- Resampling http://markmail.org/message/u3diwc76m66r7qme
- Applied-mathematical/Mathematical-physics algorithms? - Henri Yandell
- Examples, please? This item goes to the heart of what I consider an ongoing lack of consensus about what Commons-Math is supposed to be for. Should it include discipline-specific algorithms that do not overlap core numerical mathematical areas? Maybe, but we should discuss it. – AlChou
- Numerical Enhancements
- Post-SOC TODO List - Xiaogang Zhang
- Replace some of the discrete pmf and pdf methods with methods based on Catherine Loader's alogorithms http://projects.scipy.org/scipy/raw-attachment/ticket/620/loader2000Fast.pdf. These algorithms address some of the problems we experienced with large parameter values and have been adopted by many software packages including R. (done for binomial distribution https://issues.apache.org/jira/browse/MATH-311 )
- Implement monte carlo simulation http://en.wikipedia.org/wiki/Monte_Carlo_method
- Prime Numbers Functionality – SharonLourduraj
- Naive Primality Testing
- Probablistic Tests
- Ofcourse, we will take it slowly, this area is vast and time consuming.
- Implementing algorithms for practicality, and look into optimizing the algorithms (in terms of implementing it).
- AbstractStorelessUnivariateStatistic.evaluate(...) and all the workhorse implementations in subclasses should be static methods. – NickGuenther
- StandardDeviation has versions of .evaluate which take a precalculated mean. It would be nice if the same sort of thing could be had for all the other measures (e.g. skewness & kurtosis should be able to take both precalculated means and standard deviations) – NickGuenther
- Generalized Matrix Inversion, as I describe on http://mjollnir.com/matrix/ – Rand Huso
- Estimation of Omega in GLSMultipleLinearRegression using, for example Feasible Generalized Least Squares http://en.wikipedia.org/wiki/Feasible_generalized_least_squares