__init__(dist, n) |
|
cdf(x, *args, **kwds) |
Cumulative distribution function of the given RV. |
entropy(*args, **kwds) |
Differential entropy of the RV. |
est_loc_scale(*args, **kwds) |
est_loc_scale is deprecated! |
expect([fn, args, loc, scale, lb, ub, ...]) |
calculate expected value of a function with respect to the distribution |
fit(data, *args, **kwds) |
Return MLEs for shape, location, and scale parameters from data. |
fit_fr(data, *args, **kwds) |
estimate distribution parameters by MLE taking some parameters as fixed |
fit_loc_scale(data, *args) |
Estimate loc and scale parameters from data using 1st and 2nd moments. |
freeze(*args, **kwds) |
Freeze the distribution for the given arguments. |
interval(alpha, *args, **kwds) |
Confidence interval with equal areas around the median. |
isf(q, *args, **kwds) |
Inverse survival function (inverse of sf) at q of the given RV. |
logcdf(x, *args, **kwds) |
Log of the cumulative distribution function at x of the given RV. |
logpdf(x, *args, **kwds) |
Log of the probability density function at x of the given RV. |
logsf(x, *args, **kwds) |
Log of the survival function of the given RV. |
mean(*args, **kwds) |
Mean of the distribution. |
median(*args, **kwds) |
Median of the distribution. |
moment(n, *args, **kwds) |
n-th order non-central moment of distribution. |
nnlf(theta, x) |
Return negative loglikelihood function. |
nnlf_fr(thetash, x, frmask) |
|
pdf(x, *args, **kwds) |
Probability density function at x of the given RV. |
ppf(q, *args, **kwds) |
Percent point function (inverse of cdf) at q of the given RV. |
rvs(*args, **kwds) |
Random variates of given type. |
sf(x, *args, **kwds) |
Survival function (1 - cdf) at x of the given RV. |
stats(*args, **kwds) |
Some statistics of the given RV. |
std(*args, **kwds) |
Standard deviation of the distribution. |
var(*args, **kwds) |
Variance of the distribution. |