lognorm_im

class lognorm_im(mean=0.0, sigma=1.0, **kwargs)

Bases: Dist

Lognormal distribution, parameterized in terms of the “implicit” (normal) distribution, with mean=loc and std=scale (see lognorm_ex for comparison).

Note: the “loc” parameter here does not correspond to the mean of the resulting random variates!

Parameters:

• mean (float) – the mean of the underlying normal distribution (not this distribution) (default 0.0)

• sigma (float) – the standard deviation of the underlying normal distribution (not this distribution) (default 1.0)

Example:

ss.lognorm_im(mean=2, sigma=1, strict=False).rvs(1000).mean() # Should be roughly 10

Attributes

bitgen
state	Get the current state
state_int	Get the integer corresponding to the current state

Methods

sync_pars(call=True)

Translate between NumPy and SciPy parameters

preprocess_timepar(key, val)

Not valid since incorrect time units