locan.utils.statistics.weighted_mean_variance

locan.utils.statistics.weighted_mean_variance(values, weights)

Compute weighted mean (average) and the corresponding weighted mean variance [1].

Parameters:

• values (Union[_Buffer, _SupportsArray[dtype[Any]], _NestedSequence[_SupportsArray[dtype[Any]]], bool, int, float, complex, str, bytes, _NestedSequence[bool | int | float | complex | str | bytes]]) – Values from which to compute the weighted average.

• weights (Union[_Buffer, _SupportsArray[dtype[Any]], _NestedSequence[_SupportsArray[dtype[Any]]], bool, int, float, complex, str, bytes, _NestedSequence[bool | int | float | complex | str | bytes], None]) – Weights to use for weighted average.

Returns:

weighted_mean, weighted_mean_variance

Return type:

WeightedMeanVariance

References

[1]

Donald F. Gatz, Luther Smith, The standard error of a weighted mean concentration — I. Bootstrapping vs other methods. Atmospheric Environment 29(11), 1995: 1185-1193, https://doi.org/10.1016/1352-2310(94)00210-C.