Ekdist -- exponentiated Kumaraswamy

[JJNewkirk]

• [Wikipedia](https://en.wikipedia.org/wiki/Kumaraswamy_distribution
• The exponentiated Kumaraswamy Distribution and its log-transform: Lemonte et al https://www.jstor.org/stable/43601233
  I believe my functions are accurate; however in testing the mean of the current kumaraswamy.jl the did not match in some cases. I believe this to be an error in the kumaraswamy.jl in the version I was using. The EK distribution has the Kumaraswamy as a special case, so it is easy to test keeping gamma = 1.

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 0% with 93 lines in your changes missing coverage. Please review.

Project coverage is 85.29%. Comparing base (e470421) to head (dfb8d8a).

Files with missing lines	Patch %	Lines
src/univariate/continuous/ekdist.jl	0.00%	93 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #1951      +/-   ##
==========================================
- Coverage   86.19%   85.29%   -0.91%     
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  Files         146      147       +1     
  Lines        8768     8861      +93     
==========================================
  Hits         7558     7558              
- Misses       1210     1303      +93     

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