Chi2AsymmetricErrorFitStatistic#

class gammapy.stats.Chi2AsymmetricErrorFitStatistic[source]#

Bases: FitStatistic

Pseudo-Chi2 fit statistic class for measurements with gaussian asymmetric errors with upper limits.

Assumes that regular data follow asymmetric normal pdf and upper limits follow complementary error functions.

Methods Summary

loglikelihood_dataset(dataset)

Calculate sum log(L).

stat_array_dataset(dataset)

Estimate statistic from probability distributions, assumes that flux points correspond to asymmetric gaussians and upper limits complementary error functions.

stat_sum_dataset(dataset)

Calculate -2 * sum log(L).

Methods Documentation

classmethod loglikelihood_dataset(dataset)#

Calculate sum log(L).

classmethod stat_array_dataset(dataset)[source]#

Estimate statistic from probability distributions, assumes that flux points correspond to asymmetric gaussians and upper limits complementary error functions.

classmethod stat_sum_dataset(dataset)#

Calculate -2 * sum log(L).