Abstract
Statistical counting distributions corresponding to six experimental situations which differ according to the kind of counting process (initial conditions) and the type of dead-time have been published. In order to estimate how far these distributions are different, between themselves and from the original Poissonian process, the variance-to-mean ratios are calculated. The two parameters are the dead-time-to-counting-interval ratio (dead-time parameter) and the mean. By using the mean of the distributions (apparent mean) instead of the mean of the original process (true mean), practical comparisons are possible: the variance-to-mean ratios decrease when the adopted parameters increase - except possibly in the vicinity of the extreme values of these parameters.
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