  The distribution of meteor magnitudes is usually supposed to be described by
power-laws. However, this relationship is not able to model the whole data set,
and the parameters are considered to be dependent on the magnitude intervals.
We adopt a statistical distribution derived from Tsallis nonextensive
statistical mechanics which is able to model the whole magnitude range. We
combined meteor data from various sources, ranging from telescopic meteors to
lunar impactors. Our analysis shows that the probability distribution of
magnitudes of IMO and MORP data are similar. The distribution of IMO visual
magnitudes indicates that $2.4\pm0.5%$ of the meteors of a shower may be
telescopic ($m> 6$). We note that the distribution of duration of lunar flashes
follows a power-law, and a comparison with the distribution of meteor showers
suggests the occurrence of observational bias. The IMO sporadic meteor
distribution also seems to be influenced by observational factors.
