MaximumLikelihoodAmplitudeEstimation.confidence_interval

MaximumLikelihoodAmplitudeEstimation.confidence_interval(alpha, kind='fisher')[source]

Compute the alpha confidence interval using the method kind.

The confidence level is (1 - alpha) and supported kinds are ‘fisher’, ‘likelihood_ratio’ and ‘observed_fisher’ with shorthand notations ‘fi’, ‘lr’ and ‘oi’, respectively.

Parameters

  • alpha (float) – The confidence level.

  • kind (str) – The method to compute the confidence interval. Defaults to ‘fisher’, which computes the theoretical Fisher information.

Return type

List[float]

Returns

The specified confidence interval.

Raises

  • AquaError – If run() hasn’t been called yet.

  • NotImplementedError – If the method kind is not supported.