Antonino Ingargiola edited Burst_Weights_Theory.tex  about 8 years ago

Commit id: 68992820d5144fd3fa3927c8dd7fdfe170011e73

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By repeatedly fitting the population parameter $E_p$ using a   size-weighted and unweighted average, we verified that the former has systematically  lower variance of the latter as predicted by the theory  (in the current example the unweighted estimator has $38%$ $28.6%%$  higher variance). Note that this result  holds for any arbitrary distribution of burst sizes. The full simulation   including exponential and gamma-distributed burst sizes is reported in