MAINT: stats: Use explicit formulas for the mean, variance, skew and kurtosis of the loggamma distribution.
TST: stats: Add a test for the loggamma distribution stats.
STY: stats: fix line length
MAINT: stats: micro-optimization in loggamma stats method--reuse the value of var
BUG: stats: Fixed the calculation in pareto.stats() to avoid RuntimeWarnings

In pareto.stats(), in the calculation of the skewness, a variable 'bt' is
defined as 'bt = extract(b > 3, b)', but 'b' was still used in the
calculation.  This would lead to spurious RuntimeWarnings.
MAINT: stats: Simplified the calculation of Pearson's R.

* Removed the common factor 'n' from the numerator and denominator in
  the calculation of Pearson's R.  (Closes the issue gh-2512.)
* Added basic tests of pearsonr. (All the existing tests were for perfect
  correlation or anticorrelation.)
* Modified stats.mstats.pearsonr to not raise RuntimeWarnings when abs(r) == 1.
stats: replace a print() with a warning
BUG: runtests: pass extra arguments properly to Nose
MAINT: stats:  Use special.xlogy to compute entropy of discrete distributions.

This simplifies the code, and avoids spurious RuntimeWarnings that can occur
when a probability is 0.
MAINT: rename test data files with invalid filenames on Windows. Closes gh-2558
ENH: linalg: sqrtm matrix square root speedup with tests and informal benchmarks
ENH: informal sqrtm benchmark
MAINT: remove redundant code
MAINT: use more vectorization
MAINT: blocksize is now less confusing
stats: fix explicit formulas for the dlaplace stats
add a test
tweak tests
BUG: Homogenezie nnz type to be int for all sparse matrix types.
ENH: BLAS level 3: xSYMM