pyhctsa.operations.distribution.compare_ks_fit¶

pyhctsa.operations.distribution.compare_ks_fit(x, what_distn)¶

Fits a distribution to data.

Returns simple statistics on the discrepancy between the kernel-smoothed distribution of the time-series values and the distribution fitted to it by some model: Gaussian, Extreme Value, Uniform, Exponential, and LogNormal.

Parameters:¶

x : array-like¶

The input data vector.

what_distn : str¶

The type of distribution to fit to the data:

• ’norm’: normal

• ’ev’: extreme value

• ’uni’: uniform

• ’exp’: exponential

• ’logn’: Log-Normal

Returns:¶

Includes the absolute area between the two distributions, the peak separation, overlap integral, and relative entropy.

Return type:¶

dict