Login Register

SkewNorm_gen.nnlf()

statsmodels.sandbox.distributions.extras.SkewNorm_gen.nnlf

SkewNorm_gen.nnlf(theta, x)

Return negative loglikelihood function

Notes

This is -sum(log pdf(x, theta), axis=0) where theta are the parameters (including loc and scale).

Links:

http://statsmodels.sourceforge.net/stable/generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.nnlf.html

doc_statsmodels

2017-01-18 16:16:31

Comments

Leave a Comment

Please login to continue.

Popular Articles

LogTransf_gen.nnlf() statsmodels.sandbox.distributions.transformed.LogTransf_gen.nnlf LogTransf_gen.nnlf(theta, x) Return negative loglikelihood function Notes This is

NormExpan_gen.nnlf() statsmodels.sandbox.distributions.extras.NormExpan_gen.nnlf NormExpan_gen.nnlf(theta, x) Return negative loglikelihood function Notes This is -sum

SkewNorm_gen.stats() statsmodels.sandbox.distributions.extras.SkewNorm_gen.stats SkewNorm_gen.stats(*args, **kwds) Some statistics of the given RV Parameters: arg1, a

Transf_gen.nnlf() statsmodels.sandbox.distributions.transformed.Transf_gen.nnlf Transf_gen.nnlf(theta, x) Return negative loglikelihood function Notes This is -sum(

SkewNorm_gen.var() statsmodels.sandbox.distributions.extras.SkewNorm_gen.var SkewNorm_gen.var(*args, **kwds) Variance of the distribution Parameters: arg1, arg2, ar